UN logo

Search the United Nations

  • Issue Briefs
  • Commemoration
  • Branding Package
  • Our Common Agenda
  • Press Releases

impact of digital technology on society essay

The Impact of Digital Technologies

Technologies can help make our world fairer, more peaceful, and more just. Digital advances can support and accelerate achievement of each of the 17 Sustainable Development Goals – from ending extreme poverty to reducing maternal and infant mortality, promoting sustainable farming and decent work, and achieving universal literacy. But technologies can also threaten privacy, erode security and fuel inequality. They have implications for human rights and human agency. Like generations before, we – governments, businesses and individuals – have a choice to make in how we harness and manage new technologies.

A DIGITAL FUTURE FOR ALL?

Digital technologies have advanced more rapidly than any innovation in our history – reaching around 50 per cent of the developing world’s population in only two decades and transforming societies. By enhancing connectivity, financial inclusion, access to trade and public services, technology can be a great equaliser.

In the health sector, for instance, AI-enabled frontier technologies are helping to save lives, diagnose diseases and extend life expectancy. In education, virtual learning environments and distance learning have opened up programmes to students who would otherwise be excluded. Public services are also becoming more accessible and accountable through blockchain-powered systems, and less bureaucratically burdensome as a result of AI assistance.Big data can also support more responsive and accurate policies and programmes.

However, those yet to be connected remain cut off from the benefits of this new era and remain further behind. Many of the people left behind are women, the elderly, persons with disabilities or from ethnic or linguistic minorities, indigenous groups and residents of poor or remote areas. The pace of connectivity is slowing, even reversing, among some constituencies. For example, globally, the proportion of women using the internet is 12 per cent lower than that of men. While this gap narrowed in most regions between 2013 and 2017, it widened in the least developed countries from 30 per cent to 33 per cent.

The use of algorithms can replicate and even amplify human and systemic bias where they function on the basis of data which is not adequately diverse. Lack of diversity in the technology sector can mean that this challenge is not adequately addressed.

THE FUTURE OF WORK

Throughout history, technological revolutions have changed the labour force: creating new forms and patterns of work, making others obsolete, and leading to wider societal changes. This current wave of change is likely to have profound impacts. For example, the International Labour Organization estimates that the shift to a greener economy could create 24 million new jobs globally by 2030 through the adoption of sustainable practices in the energy sector, the use of electric vehicles and increasing energy efficiency in existing and future buildings.

Meanwhile, reports by groups such as McKinsey suggest that 800 million people could lose their jobs to automation by 2030 , while polls reveal that the majority of all employees worry that they do not have the necessary training or skills to get a well-paid job.

There is broad agreement that managing these trends will require changes in our approach to education, for instance, by placing more emphasis on science, technology, engineering, and maths; by teaching soft skills, and resilience; and by ensuring that people can re-skill and up-skill throughout their lifetimes. Unpaid work, for example childcare and elderly care in the home, will need to be better supported, especially as with the shifting age profile of global populations, the demands on these tasks are likely to increase.

THE FUTURE OF DATA

Today, digital technologies such as data pooling and AI are used to track and diagnose issues in agriculture, health, and the environment, or to perform daily tasks such as navigating traffic or paying a bill. They can be used to defend and exercise human rights – but they can also be used to violate them, for example, by monitoring our movements, purchases, conversations and behaviours. Governments and businesses increasingly have the tools to mine and exploit data for financial and other purposes.

However, personal data would become an asset to a person, if there were a formula for better regulation of personal data ownership. Data-powered technology has the potential to empower individuals, improve human welfare, and promote universal rights, depending on the type of protections put in place.

THE FUTURE OF SOCIAL MEDIA

Social media connects almost half of the entire global population . It enables people to make their voices heard and to talk to people across the world in real time. However, it can also reinforce prejudices and sow discord, by giving hate speech and misinformation a platform, or by amplifying echo chambers.

In this way, social media algorithms can fuel the fragmentation of societies around the world. And yet they also have the potential to do the opposite.

THE FUTURE OF CYBERSPACE

How to manage these developments is the subject of much discussion – nationally and internationally – at a time when geopolitical tensions are on the rise. The UN Secretary-General has warned of a ‘great fracture’ between world powers, each with their own internet and AI strategy, as well as dominant currency, trade and financial rules and contradictory geopolitical and military views. Such a divide could establish a digital Berlin Wall. Increasingly, digital cooperation between states – and a universal cyberspace that reflects global standards for peace and security, human rights and sustainable development – is seen as crucial to ensuring a united world. A ‘global commitment for digital cooperation’ is a key recommendation by the Secretary-General’s High-level Panel on Digital Cooperation .

FOR MORE INFORMATION

The Sustainable Development Goals

The Age of Digital Interdependence: Report of the UN Secretary-General’s High-level Panel on Digital Cooperation

ILO | Global Commission on the Future of Work

Secretary General’s Address to the 74th Session of the UN General Assembly

Secretary General’s Strategy on New Technology

PDF VERSION

Download the pdf version

Issue Cover

  • Previous Article
  • Next Article

Promises and Pitfalls of Technology

Politics and privacy, private-sector influence and big tech, state competition and conflict, author biography, how is technology changing the world, and how should the world change technology.

[email protected]

  • Split-Screen
  • Article contents
  • Figures & tables
  • Supplementary Data
  • Peer Review
  • Open the PDF for in another window
  • Guest Access
  • Get Permissions
  • Cite Icon Cite
  • Search Site

Josephine Wolff; How Is Technology Changing the World, and How Should the World Change Technology?. Global Perspectives 1 February 2021; 2 (1): 27353. doi: https://doi.org/10.1525/gp.2021.27353

Download citation file:

  • Ris (Zotero)
  • Reference Manager

Technologies are becoming increasingly complicated and increasingly interconnected. Cars, airplanes, medical devices, financial transactions, and electricity systems all rely on more computer software than they ever have before, making them seem both harder to understand and, in some cases, harder to control. Government and corporate surveillance of individuals and information processing relies largely on digital technologies and artificial intelligence, and therefore involves less human-to-human contact than ever before and more opportunities for biases to be embedded and codified in our technological systems in ways we may not even be able to identify or recognize. Bioengineering advances are opening up new terrain for challenging philosophical, political, and economic questions regarding human-natural relations. Additionally, the management of these large and small devices and systems is increasingly done through the cloud, so that control over them is both very remote and removed from direct human or social control. The study of how to make technologies like artificial intelligence or the Internet of Things “explainable” has become its own area of research because it is so difficult to understand how they work or what is at fault when something goes wrong (Gunning and Aha 2019) .

This growing complexity makes it more difficult than ever—and more imperative than ever—for scholars to probe how technological advancements are altering life around the world in both positive and negative ways and what social, political, and legal tools are needed to help shape the development and design of technology in beneficial directions. This can seem like an impossible task in light of the rapid pace of technological change and the sense that its continued advancement is inevitable, but many countries around the world are only just beginning to take significant steps toward regulating computer technologies and are still in the process of radically rethinking the rules governing global data flows and exchange of technology across borders.

These are exciting times not just for technological development but also for technology policy—our technologies may be more advanced and complicated than ever but so, too, are our understandings of how they can best be leveraged, protected, and even constrained. The structures of technological systems as determined largely by government and institutional policies and those structures have tremendous implications for social organization and agency, ranging from open source, open systems that are highly distributed and decentralized, to those that are tightly controlled and closed, structured according to stricter and more hierarchical models. And just as our understanding of the governance of technology is developing in new and interesting ways, so, too, is our understanding of the social, cultural, environmental, and political dimensions of emerging technologies. We are realizing both the challenges and the importance of mapping out the full range of ways that technology is changing our society, what we want those changes to look like, and what tools we have to try to influence and guide those shifts.

Technology can be a source of tremendous optimism. It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942) . But it can also be a tool of tremendous fear and oppression, embedding biases in automated decision-making processes and information-processing algorithms, exacerbating economic and social inequalities within and between countries to a staggering degree, or creating new weapons and avenues for attack unlike any we have had to face in the past. Scholars have even contended that the emergence of the term technology in the nineteenth and twentieth centuries marked a shift from viewing individual pieces of machinery as a means to achieving political and social progress to the more dangerous, or hazardous, view that larger-scale, more complex technological systems were a semiautonomous form of progress in and of themselves (Marx 2010) . More recently, technologists have sharply criticized what they view as a wave of new Luddites, people intent on slowing the development of technology and turning back the clock on innovation as a means of mitigating the societal impacts of technological change (Marlowe 1970) .

At the heart of fights over new technologies and their resulting global changes are often two conflicting visions of technology: a fundamentally optimistic one that believes humans use it as a tool to achieve greater goals, and a fundamentally pessimistic one that holds that technological systems have reached a point beyond our control. Technology philosophers have argued that neither of these views is wholly accurate and that a purely optimistic or pessimistic view of technology is insufficient to capture the nuances and complexity of our relationship to technology (Oberdiek and Tiles 1995) . Understanding technology and how we can make better decisions about designing, deploying, and refining it requires capturing that nuance and complexity through in-depth analysis of the impacts of different technological advancements and the ways they have played out in all their complicated and controversial messiness across the world.

These impacts are often unpredictable as technologies are adopted in new contexts and come to be used in ways that sometimes diverge significantly from the use cases envisioned by their designers. The internet, designed to help transmit information between computer networks, became a crucial vehicle for commerce, introducing unexpected avenues for crime and financial fraud. Social media platforms like Facebook and Twitter, designed to connect friends and families through sharing photographs and life updates, became focal points of election controversies and political influence. Cryptocurrencies, originally intended as a means of decentralized digital cash, have become a significant environmental hazard as more and more computing resources are devoted to mining these forms of virtual money. One of the crucial challenges in this area is therefore recognizing, documenting, and even anticipating some of these unexpected consequences and providing mechanisms to technologists for how to think through the impacts of their work, as well as possible other paths to different outcomes (Verbeek 2006) . And just as technological innovations can cause unexpected harm, they can also bring about extraordinary benefits—new vaccines and medicines to address global pandemics and save thousands of lives, new sources of energy that can drastically reduce emissions and help combat climate change, new modes of education that can reach people who would otherwise have no access to schooling. Regulating technology therefore requires a careful balance of mitigating risks without overly restricting potentially beneficial innovations.

Nations around the world have taken very different approaches to governing emerging technologies and have adopted a range of different technologies themselves in pursuit of more modern governance structures and processes (Braman 2009) . In Europe, the precautionary principle has guided much more anticipatory regulation aimed at addressing the risks presented by technologies even before they are fully realized. For instance, the European Union’s General Data Protection Regulation focuses on the responsibilities of data controllers and processors to provide individuals with access to their data and information about how that data is being used not just as a means of addressing existing security and privacy threats, such as data breaches, but also to protect against future developments and uses of that data for artificial intelligence and automated decision-making purposes. In Germany, Technische Überwachungsvereine, or TÜVs, perform regular tests and inspections of technological systems to assess and minimize risks over time, as the tech landscape evolves. In the United States, by contrast, there is much greater reliance on litigation and liability regimes to address safety and security failings after-the-fact. These different approaches reflect not just the different legal and regulatory mechanisms and philosophies of different nations but also the different ways those nations prioritize rapid development of the technology industry versus safety, security, and individual control. Typically, governance innovations move much more slowly than technological innovations, and regulations can lag years, or even decades, behind the technologies they aim to govern.

In addition to this varied set of national regulatory approaches, a variety of international and nongovernmental organizations also contribute to the process of developing standards, rules, and norms for new technologies, including the International Organization for Standardization­ and the International Telecommunication Union. These multilateral and NGO actors play an especially important role in trying to define appropriate boundaries for the use of new technologies by governments as instruments of control for the state.

At the same time that policymakers are under scrutiny both for their decisions about how to regulate technology as well as their decisions about how and when to adopt technologies like facial recognition themselves, technology firms and designers have also come under increasing criticism. Growing recognition that the design of technologies can have far-reaching social and political implications means that there is more pressure on technologists to take into consideration the consequences of their decisions early on in the design process (Vincenti 1993; Winner 1980) . The question of how technologists should incorporate these social dimensions into their design and development processes is an old one, and debate on these issues dates back to the 1970s, but it remains an urgent and often overlooked part of the puzzle because so many of the supposedly systematic mechanisms for assessing the impacts of new technologies in both the private and public sectors are primarily bureaucratic, symbolic processes rather than carrying any real weight or influence.

Technologists are often ill-equipped or unwilling to respond to the sorts of social problems that their creations have—often unwittingly—exacerbated, and instead point to governments and lawmakers to address those problems (Zuckerberg 2019) . But governments often have few incentives to engage in this area. This is because setting clear standards and rules for an ever-evolving technological landscape can be extremely challenging, because enforcement of those rules can be a significant undertaking requiring considerable expertise, and because the tech sector is a major source of jobs and revenue for many countries that may fear losing those benefits if they constrain companies too much. This indicates not just a need for clearer incentives and better policies for both private- and public-sector entities but also a need for new mechanisms whereby the technology development and design process can be influenced and assessed by people with a wider range of experiences and expertise. If we want technologies to be designed with an eye to their impacts, who is responsible for predicting, measuring, and mitigating those impacts throughout the design process? Involving policymakers in that process in a more meaningful way will also require training them to have the analytic and technical capacity to more fully engage with technologists and understand more fully the implications of their decisions.

At the same time that tech companies seem unwilling or unable to rein in their creations, many also fear they wield too much power, in some cases all but replacing governments and international organizations in their ability to make decisions that affect millions of people worldwide and control access to information, platforms, and audiences (Kilovaty 2020) . Regulators around the world have begun considering whether some of these companies have become so powerful that they violate the tenets of antitrust laws, but it can be difficult for governments to identify exactly what those violations are, especially in the context of an industry where the largest players often provide their customers with free services. And the platforms and services developed by tech companies are often wielded most powerfully and dangerously not directly by their private-sector creators and operators but instead by states themselves for widespread misinformation campaigns that serve political purposes (Nye 2018) .

Since the largest private entities in the tech sector operate in many countries, they are often better poised to implement global changes to the technological ecosystem than individual states or regulatory bodies, creating new challenges to existing governance structures and hierarchies. Just as it can be challenging to provide oversight for government use of technologies, so, too, oversight of the biggest tech companies, which have more resources, reach, and power than many nations, can prove to be a daunting task. The rise of network forms of organization and the growing gig economy have added to these challenges, making it even harder for regulators to fully address the breadth of these companies’ operations (Powell 1990) . The private-public partnerships that have emerged around energy, transportation, medical, and cyber technologies further complicate this picture, blurring the line between the public and private sectors and raising critical questions about the role of each in providing critical infrastructure, health care, and security. How can and should private tech companies operating in these different sectors be governed, and what types of influence do they exert over regulators? How feasible are different policy proposals aimed at technological innovation, and what potential unintended consequences might they have?

Conflict between countries has also spilled over significantly into the private sector in recent years, most notably in the case of tensions between the United States and China over which technologies developed in each country will be permitted by the other and which will be purchased by other customers, outside those two countries. Countries competing to develop the best technology is not a new phenomenon, but the current conflicts have major international ramifications and will influence the infrastructure that is installed and used around the world for years to come. Untangling the different factors that feed into these tussles as well as whom they benefit and whom they leave at a disadvantage is crucial for understanding how governments can most effectively foster technological innovation and invention domestically as well as the global consequences of those efforts. As much of the world is forced to choose between buying technology from the United States or from China, how should we understand the long-term impacts of those choices and the options available to people in countries without robust domestic tech industries? Does the global spread of technologies help fuel further innovation in countries with smaller tech markets, or does it reinforce the dominance of the states that are already most prominent in this sector? How can research universities maintain global collaborations and research communities in light of these national competitions, and what role does government research and development spending play in fostering innovation within its own borders and worldwide? How should intellectual property protections evolve to meet the demands of the technology industry, and how can those protections be enforced globally?

These conflicts between countries sometimes appear to challenge the feasibility of truly global technologies and networks that operate across all countries through standardized protocols and design features. Organizations like the International Organization for Standardization, the World Intellectual Property Organization, the United Nations Industrial Development Organization, and many others have tried to harmonize these policies and protocols across different countries for years, but have met with limited success when it comes to resolving the issues of greatest tension and disagreement among nations. For technology to operate in a global environment, there is a need for a much greater degree of coordination among countries and the development of common standards and norms, but governments continue to struggle to agree not just on those norms themselves but even the appropriate venue and processes for developing them. Without greater global cooperation, is it possible to maintain a global network like the internet or to promote the spread of new technologies around the world to address challenges of sustainability? What might help incentivize that cooperation moving forward, and what could new structures and process for governance of global technologies look like? Why has the tech industry’s self-regulation culture persisted? Do the same traditional drivers for public policy, such as politics of harmonization and path dependency in policy-making, still sufficiently explain policy outcomes in this space? As new technologies and their applications spread across the globe in uneven ways, how and when do they create forces of change from unexpected places?

These are some of the questions that we hope to address in the Technology and Global Change section through articles that tackle new dimensions of the global landscape of designing, developing, deploying, and assessing new technologies to address major challenges the world faces. Understanding these processes requires synthesizing knowledge from a range of different fields, including sociology, political science, economics, and history, as well as technical fields such as engineering, climate science, and computer science. A crucial part of understanding how technology has created global change and, in turn, how global changes have influenced the development of new technologies is understanding the technologies themselves in all their richness and complexity—how they work, the limits of what they can do, what they were designed to do, how they are actually used. Just as technologies themselves are becoming more complicated, so are their embeddings and relationships to the larger social, political, and legal contexts in which they exist. Scholars across all disciplines are encouraged to join us in untangling those complexities.

Josephine Wolff is an associate professor of cybersecurity policy at the Fletcher School of Law and Diplomacy at Tufts University. Her book You’ll See This Message When It Is Too Late: The Legal and Economic Aftermath of Cybersecurity Breaches was published by MIT Press in 2018.

Recipient(s) will receive an email with a link to 'How Is Technology Changing the World, and How Should the World Change Technology?' and will not need an account to access the content.

Subject: How Is Technology Changing the World, and How Should the World Change Technology?

(Optional message may have a maximum of 1000 characters.)

Citing articles via

Email alerts, affiliations.

  • Special Collections
  • Review Symposia
  • Info for Authors
  • Info for Librarians
  • Editorial Team
  • Emerging Scholars Forum
  • Open Access
  • Online ISSN 2575-7350
  • Copyright © 2024 The Regents of the University of California. All Rights Reserved.

Stay Informed

Disciplines.

  • Ancient World
  • Anthropology
  • Communication
  • Criminology & Criminal Justice
  • Film & Media Studies
  • Food & Wine
  • Browse All Disciplines
  • Browse All Courses
  • Book Authors
  • Booksellers
  • Instructions
  • Journal Authors
  • Journal Editors
  • Media & Journalists
  • Planned Giving

About UC Press

  • Press Releases
  • Seasonal Catalog
  • Acquisitions Editors
  • Customer Service
  • Exam/Desk Requests
  • Media Inquiries
  • Print-Disability
  • Rights & Permissions
  • UC Press Foundation
  • © Copyright 2024 by the Regents of the University of California. All rights reserved. Privacy policy    Accessibility

This Feature Is Available To Subscribers Only

Sign In or Create an Account

Read our research on: Abortion | Podcasts | Election 2024

Regions & Countries

The internet and the pandemic, 90% of americans say the internet has been essential or important to them, many made video calls and 40% used technology in new ways. but while tech was a lifeline for some, others faced struggles.

impact of digital technology on society essay

Pew Research Center has a long history of studying technology adoption trends and the impact of digital technology on society. This report focuses on American adults’ experiences with and attitudes about their internet and technology use during the COVID-19 outbreak. For this analysis, we surveyed 4,623 U.S. adults from April 12-18, 2021. Everyone who took part is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the  ATP’s methodology .

Chapter 1 of this report includes responses to an open-ended question and the overall report includes a number of quotations to help illustrate themes and add nuance to the survey findings. Quotations may have been lightly edited for grammar, spelling and clarity. The first three themes mentioned in each open-ended response, according to a researcher-developed codebook, were coded into categories for analysis. 

Here are the questions used for this report , along with responses, and its methodology .

Technology has been a lifeline for some during the coronavirus outbreak but some have struggled, too

The  coronavirus  has transformed many aspects of Americans’ lives. It  shut down  schools, businesses and workplaces and forced millions to  stay at home  for extended lengths of time. Public health authorities recommended  limits on social contact  to try to contain the spread of the virus, and these profoundly altered the way many worked, learned, connected with loved ones, carried out basic daily tasks, celebrated and mourned. For some, technology played a role in this transformation.  

Results from a new Pew Research Center survey of U.S. adults conducted April 12-18, 2021, reveal the extent to which people’s use of the internet has changed, their views about how helpful technology has been for them and the struggles some have faced. 

The vast majority of adults (90%) say the internet has been at least important to them personally during the pandemic, the survey finds. The share who say it has been  essential  – 58% – is up slightly from 53% in April 2020. There have also been upticks in the shares who say the internet has been essential in the past year among those with a bachelor’s degree or more formal education, adults under 30, and those 65 and older. 

A large majority of Americans (81%) also say they talked with others via video calls at some point since the pandemic’s onset. And for 40% of Americans, digital tools have taken on new relevance: They report they used technology or the internet in ways that were new or different to them. Some also sought upgrades to their service as the pandemic unfolded: 29% of broadband users did something to improve the speed, reliability or quality of their high-speed internet connection at home since the beginning of the outbreak.

Still, tech use has not been an unmitigated boon for everyone. “ Zoom fatigue ” was widely speculated to be a problem in the pandemic, and some Americans report related experiences in the new survey: 40% of those who have ever talked with others via video calls since the beginning of the pandemic say they have felt worn out or fatigued often or sometimes by the time they spend on them. Moreover,  changes in screen time  occurred for  Americans generally  and for  parents of young children . The survey finds that a third of all adults say they tried to cut back on time spent on their smartphone or the internet at some point during the pandemic. In addition, 72% of parents of children in grades K-12 say their kids are spending more time on screens compared with before the outbreak. 1

For many, digital interactions could only do so much as a stand-in for in-person communication. About two-thirds of Americans (68%) say the interactions they would have had in person, but instead had online or over the phone, have generally been useful – but not a replacement for in-person contact. Another 15% say these tools haven’t been of much use in their interactions. Still, 17% report that these digital interactions have been just as good as in-person contact.

About two-thirds say digital interactions have been useful, but not a replacement for in-person contact

Some types of technology have been more helpful than others for Americans. For example, 44% say text messages or group messaging apps have helped them a lot to stay connected with family and friends, 38% say the same about voice calls and 30% say this about video calls. Smaller shares say social media sites (20%) and email (19%) have helped them in this way.

The survey offers a snapshot of Americans’ lives just over one year into the pandemic as they reflected back on what had happened. It is important to note the findings were gathered in April 2021, just before  all U.S. adults became eligible for coronavirus vaccine s. At the time, some states were  beginning to loosen restrictions  on businesses and social encounters. This survey also was fielded before the delta variant  became prominent  in the United States,  raising concerns  about new and  evolving variants . 

Here are some of the key takeaways from the survey.

Americans’ tech experiences in the pandemic are linked to digital divides, tech readiness 

Some Americans’ experiences with technology haven’t been smooth or easy during the pandemic. The digital divides related to  internet use  and  affordability  were highlighted by the pandemic and also emerged in new ways as life moved online.

Beyond that, affordability  remained a persistent concern  for a portion of digital tech users as the pandemic continued – about a quarter of home broadband users (26%) and smartphone owners (24%) said in the April 2021 survey that they worried a lot or some about paying their internet and cellphone bills over the next few months. 

From parents of children facing the “ homework gap ” to Americans struggling to  afford home internet , those with lower incomes have been particularly likely to struggle. At the same time, some of those with higher incomes have been affected as well.

60% of broadband users with lower incomes often or sometimes have connection problems, and 46% are worried at least some about paying for broadband

Affordability and connection problems have hit broadband users with lower incomes especially hard. Nearly half of broadband users with lower incomes, and about a quarter of those with midrange incomes, say that as of April they were at least somewhat worried about paying their internet bill over the next few months. 3 And home broadband users with lower incomes are roughly 20 points more likely to say they often or sometimes experience problems with their connection than those with relatively high incomes. Still, 55% of those with lower incomes say the internet has been essential to them personally in the pandemic.

At the same time, Americans’ levels of formal education are associated with their experiences turning to tech during the pandemic. 

Adults with a bachelor’s, advanced degree more likely than others to make daily video calls, use tech in new ways, consider internet essential amid COVID-19

Those with a bachelor’s or advanced degree are about twice as likely as those with a high school diploma or less formal education to have used tech in new or different ways during the pandemic. There is also roughly a 20 percentage point gap between these two groups in the shares who have made video calls about once a day or more often and who say these calls have helped at least a little to stay connected with family and friends. And 71% of those with a bachelor’s degree or more education say the internet has been essential, compared with 45% of those with a high school diploma or less.

More broadly, not all Americans believe they have key tech skills. In this survey, about a quarter of adults (26%) say they usually need someone else’s help to set up or show them how to use a new computer, smartphone or other electronic device. And one-in-ten report they have little to no confidence in their ability to use these types of devices to do the things they need to do online. This report refers to those who say they experience either or both of these issues as having “lower tech readiness.” Some 30% of adults fall in this category. (A full description of how this group was identified can be found in  Chapter 3. )

‘Tech readiness,’ which is tied to people’s confident and independent use of devices, varies by age

These struggles are particularly acute for older adults, some of whom have had to  learn new tech skills  over the course of the pandemic. Roughly two-thirds of adults 75 and older fall into the group having lower tech readiness – that is, they either have little or no confidence in their ability to use their devices, or generally need help setting up and learning how to use new devices. Some 54% of Americans ages 65 to 74 are also in this group. 

Americans with lower tech readiness have had different experiences with technology during the pandemic. While 82% of the Americans with lower tech readiness say the internet has been at least important to them personally during the pandemic, they are less likely than those with higher tech readiness to say the internet has been essential (39% vs. 66%). Some 21% of those with lower tech readiness say digital interactions haven’t been of much use in standing in for in-person contact, compared with 12% of those with higher tech readiness. 

46% of parents with lower incomes whose children faced school closures say their children had at least one problem related to the ‘homework gap’

As school moved online for many families, parents and their children experienced profound changes. Fully 93% of parents with K-12 children at home say these children had some online instruction during the pandemic. Among these parents, 62% report that online learning has gone very or somewhat well, and 70% say it has been very or somewhat easy for them to help their children use technology for online instruction.

Still, 30% of the parents whose children have had online instruction during the pandemic say it has been very or somewhat difficult for them to help their children use technology or the internet for this. 

Remote learning has been widespread during the pandemic, but children from lower-income households have been particularly likely to face ‘homework gap’

The survey also shows that children from households with lower incomes who faced school closures in the pandemic have been especially likely to encounter tech-related obstacles in completing their schoolwork – a phenomenon contributing to the “ homework gap .”

Overall, about a third (34%) of all parents whose children’s schools closed at some point say their children have encountered at least one of the tech-related issues we asked about amid COVID-19: having to do schoolwork on a cellphone, being unable to complete schoolwork because of lack of computer access at home, or having to use public Wi-Fi to finish schoolwork because there was no reliable connection at home. 

This share is higher among parents with lower incomes whose children’s schools closed. Nearly half (46%) say their children have faced at least one of these issues. Some with higher incomes were affected as well – about three-in-ten (31%) of these parents with midrange incomes say their children faced one or more of these issues, as do about one-in-five of these parents with higher household incomes.

More parents say their screen time rules have become less strict under pandemic than say they’ve become more strict

Prior Center work has documented this “ homework gap ” in other contexts – both  before the coronavirus outbreak  and  near the beginning of the pandemic . In April 2020, for example, parents with lower incomes were particularly likely to think their children would face these struggles amid the outbreak.

Besides issues related to remote schooling, other changes were afoot in families as the pandemic forced many families to shelter in place. For instance, parents’ estimates of their children’s screen time – and family rules around this – changed in some homes. About seven-in-ten parents with children in kindergarten through 12th grade (72%) say their children were spending more time on screens as of the April survey compared with before the outbreak. Some 39% of parents with school-age children say they have become less strict about screen time rules during the outbreak. About one-in-five (18%) say they have become more strict, while 43% have kept screen time rules about the same. 

More adults now favor the idea that schools should provide digital technology to all students during the pandemic than did in April 2020

Americans’ tech struggles related to digital divides gained attention from policymakers and news organizations as the pandemic progressed.

On some policy issues, public attitudes changed over the course of the outbreak – for example, views on what K-12 schools should provide to students shifted. Some 49% now say K-12 schools have a responsibility to provide all students with laptop or tablet computers in order to help them complete their schoolwork during the pandemic, up 12 percentage points from a year ago.

Growing shares across political parties say K-12 schools should give all students computers amid COVID-19

The shares of those who say so have increased for both major political parties over the past year: This view shifted 15 points for Republicans and those who lean toward the GOP, and there was a 9-point increase for Democrats and Democratic leaners.

Democrats are more likely than Republicans to say the government has this responsibility, and within the Republican Party, those with lower incomes are more likely to say this than their counterparts earning more money. 

Video calls and conferencing have been part of everyday life

Americans’ own words provide insight into exactly how their lives changed amid COVID-19. When asked to describe the new or different ways they had used technology, some Americans mention video calls and conferencing facilitating a variety of virtual interactions – including attending events like weddings, family holidays and funerals or transforming where and how they worked. 5 From family calls, shopping for groceries and placing takeout orders online to having telehealth visits with medical professionals or participating in online learning activities, some aspects of life have been virtually transformed: 

“I’ve gone from not even knowing remote programs like Zoom even existed, to using them nearly every day.” – Man, 54

“[I’ve been] h andling … deaths of family and friends remotely, attending and sharing classical music concerts and recitals with other professionals, viewing [my] own church services and Bible classes, shopping. … Basically, [the internet has been] a lifeline.”  – Woman, 69

“I … use Zoom for church youth activities. [I] use Zoom for meetings. I order groceries and takeout food online. We arranged for a ‘digital reception’ for my daughter’s wedding as well as live streaming the event.” – Woman, 44

Among those who have used video calls during the outbreak, 40% feel fatigued or worn out at least sometimes from time spent on these calls

When asked about video calls specifically, half of Americans report they have talked with others in this way at least once a week since the beginning of the outbreak; one-in-five have used these platforms daily. But how often people have experienced this type of digital connectedness varies by age. For example, about a quarter of adults ages 18 to 49 (27%) say they have connected with others on video calls about once a day or more often, compared with 16% of those 50 to 64 and just 7% of those 65 and older. 

Even as video technology became a part of life for users, many  accounts of burnout  surfaced and some speculated that “Zoom fatigue” was setting in as Americans grew weary of this type of screen time. The survey finds that some 40% of those who participated in video calls since the beginning of the pandemic – a third of all Americans – say they feel worn out or fatigued often or sometimes from the time they spend on video calls. About three-quarters of those who have been on these calls several times a day in the pandemic say this.

Fatigue is not limited to frequent users, however: For example, about a third (34%) of those who have made video calls about once a week say they feel worn out at least sometimes.

These are among the main findings from the survey. Other key results include:

Some Americans’ personal lives and social relationships have changed during the pandemic:  Some 36% of Americans say their own personal lives changed in a major way as a result of the coronavirus outbreak. Another 47% say their personal lives changed, but only a little bit.   About half (52%) of those who say major change has occurred in their personal lives due to the pandemic also say they have used tech in new ways, compared with about four-in-ten (38%) of those whose personal lives changed a little bit and roughly one-in-five (19%) of those who say their personal lives stayed about the same.

Even as tech helped some to stay connected, a quarter of Americans say they feel less close to close family members now compared with before the pandemic, and about four-in-ten (38%) say the same about friends they know well. Roughly half (53%) say this about casual acquaintances.

The majority of those who tried to sign up for vaccine appointments in the first part of the year went online to do so:  Despite early problems with  vaccine rollout  and  online registration systems , in the April survey tech problems did  not  appear to be major struggles for most adults who had tried to sign up online for COVID-19 vaccines. The survey explored Americans’ experiences getting these vaccine appointments and reveals that in April 57% of adults had tried to sign themselves up and 25% had tried to sign someone else up. Fully 78% of those who tried to sign themselves up and 87% of those who tried to sign others up were online registrants. 

When it comes to difficulties with the online vaccine signup process, 29% of those who had tried to sign up online – 13% of all Americans – say it was very or somewhat difficult to sign themselves up for vaccines at that time. Among five reasons for this that the survey asked about, the most common  major  reason was lack of available appointments, rather than tech-related problems. Adults 65 and older who tried to sign themselves up for the vaccine online were the most likely age group to experience at least some difficulty when they tried to get a vaccine appointment.

Tech struggles and usefulness alike vary by race and ethnicity.  Americans’ experiences also have varied across racial and ethnic groups. For example, Black Americans are more likely than White or Hispanic adults to meet the criteria for having “lower tech readiness.” 6 Among broadband users, Black and Hispanic adults were also more likely than White adults to be worried about paying their bills for their high-speed internet access at home as of April, though the share of Hispanic Americans who say this declined sharply since April 2020. And a majority of Black and Hispanic broadband users say they at least sometimes have experienced problems with their internet connection. 

Still, Black adults and Hispanic adults are more likely than White adults to say various technologies – text messages, voice calls, video calls, social media sites and email – have helped them a lot to stay connected with family and friends amid the pandemic.

Tech has helped some adults under 30 to connect with friends, but tech fatigue also set in for some.  Only about one-in-five adults ages 18 to 29 say they feel closer to friends they know well compared with before the pandemic. This share is twice as high as that among adults 50 and older. Adults under 30 are also more likely than any other age group to say social media sites have helped a lot in staying connected with family and friends (30% say so), and about four-in-ten of those ages 18 to 29 say this about video calls. 

Screen time affected some negatively, however. About six-in-ten adults under 30 (57%) who have ever made video calls in the pandemic say they at least sometimes feel worn out or fatigued from spending time on video calls, and about half (49%) of young adults say they have tried to cut back on time spent on the internet or their smartphone.

  • Throughout this report, “parents” refers to those who said they were the parent or guardian of any children who were enrolled in elementary, middle or high school and who lived in their household at the time of the survey. ↩
  • People with a high-speed internet connection at home also are referred to as “home broadband users” or “broadband users” throughout this report. ↩
  • Family incomes are based on 2019 earnings and adjusted for differences in purchasing power by geographic region and for household sizes. Middle income is defined here as two-thirds to double the median annual family income for all panelists on the American Trends Panel. Lower income falls below that range; upper income falls above it. ↩
  • A separate  Center study  also fielded in April 2021 asked Americans what the government is responsible for on a number of topics, but did not mention the coronavirus outbreak. Some 43% of Americans said in that survey that the federal government has a responsibility to provide high-speed internet for all Americans. This was a significant increase from 2019, the last time the Center had asked that more general question, when 28% said the same. ↩
  • Quotations in this report may have been lightly edited for grammar, spelling and clarity. ↩
  • There were not enough Asian American respondents in the sample to be broken out into a separate analysis. As always, their responses are incorporated into the general population figures throughout this report. ↩

Sign up for our Internet, Science and Tech newsletter

New findings, delivered monthly

Report Materials

Table of contents, 34% of lower-income home broadband users have had trouble paying for their service amid covid-19, experts say the ‘new normal’ in 2025 will be far more tech-driven, presenting more big challenges, what we’ve learned about americans’ views of technology during the time of covid-19, key findings about americans’ views on covid-19 contact tracing, how americans see digital privacy issues amid the covid-19 outbreak, most popular.

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

Visual Life

  • Creative Projects
  • Write Here!

Social Interaction Vs Electronic Media Use

Karunaratne, Indika & Atukorale, Ajantha & Perera, Hemamali. (2011). Surveillance of human- computer interactions: A way forward to detection of users' Psychological Distress. 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011. 10.1109/CHUSER.2011.6163779.

June 9, 2023 / 0 comments / Reading Time: ~ 12 minutes

The Digital Revolution: How Technology is Changing the Way We Communicate and Interact

This article examines the impact of technology on human interaction and explores the ever-evolving landscape of communication. With the rapid advancement of technology, the methods and modes of communication have undergone a significant transformation. This article investigates both the positive and negative implications of this digitalization. Technological innovations, such as smartphones, social media, and instant messaging apps, have provided unprecedented accessibility and convenience, allowing people to connect effortlessly across distances. However, concerns have arisen regarding the quality and authenticity of these interactions. The article explores the benefits of technology, including improved connectivity, enhanced information sharing, and expanded opportunities for collaboration. It also discusses potential negative effects including a decline in in-person interactions, a loss of empathy, and an increase in online anxiety. This article tries to expand our comprehension of the changing nature of communication in the digital age by exposing the many ways that technology has an impact on interpersonal interactions. It emphasizes the necessity of intentional and thoughtful communication techniques to preserve meaningful connections in a society that is becoming more and more reliant on technology.

Introduction:

Technology has significantly transformed our modes of communication and interaction, revolutionizing the way we connect with one another over the past few decades. However, the COVID-19 pandemic has acted as a catalyst, expediting this transformative process, and necessitating our exclusive reliance on digital tools for socializing, working, and learning. Platforms like social media and video conferencing have emerged in recent years, expanding our options for virtual communication. The impact of these changes on our lives cannot be ignored. In this article, we will delve into the ways in which technology has altered our communication and interaction patterns and explore the consequences of these changes for our relationships, mental well-being, and society.

To gain a deeper understanding of this topic, I have conducted interviews and surveys, allowing us to gather firsthand insights from individuals of various backgrounds. Additionally, we will compare this firsthand information with the perspectives shared by experts in the field. By drawing on both personal experiences and expert opinions, we seek to provide a comprehensive analysis of how technology influences our interpersonal connections. Through this research, we hope to get a deeper comprehension of the complex interactions between technology and people, enabling us to move mindfully and purposefully through the rapidly changing digital environment.

The Evolution of Communication: From Face-to-Face to Digital Connections:

In the realm of communication, we have various mediums at our disposal, such as face-to-face interactions, telephone conversations, and internet-based communication. According to Nancy Baym, an expert in the field of technology and human connections, face-to-face communication is often regarded as the most personal and intimate, while the phone provides a more personal touch than the internet. She explains this in her book Personal Connections in the Digital Age by stating, “Face-to-face is much more personal; phone is personal as well, but not as intimate as face-to-face… Internet would definitely be the least personal, followed by the phone (which at least has the vocal satisfaction) and the most personal would be face-to-face” (Baym 2015).  These distinctions suggest that different communication mediums are perceived to have varying levels of effectiveness in conveying emotion and building relationships. This distinction raises thought-provoking questions about the impact of technology on our ability to forge meaningful connections. While the internet offers unparalleled convenience and connectivity, it is essential to recognize its limitations in reproducing the depth of personal interaction found in face-to-face encounters. These limitations may be attributed to the absence of nonverbal cues, such as facial expressions, body language, and tone of voice, which are vital elements in understanding and interpreting emotions accurately.

Traditionally, face-to-face interactions held a prominent role as the primary means of communication, facilitating personal and intimate connections. However, the rise of technology has brought about significant changes, making communication more convenient but potentially less personal. The rise of phones, instant messaging, and social media platforms has revolutionized how we connect with others. While these digital tools offer instant connectivity and enable us to bridge geographical distances, they introduce a layer of blockage that may impact the depth and quality of our interactions. It is worth noting that different communication mediums have their strengths and limitations. Phone conversations, for instance, retain a certain level of personal connection through vocal interactions, allowing for the conveyance of emotions and tones that text-based communication may lack. However, even with this advantage, phone conversations still fall short of the depth and richness found in face-to-face interactions, as they lack visual cues and physical presence.

Internet-based communication, on the other hand, is considered the least personal medium. Online interactions often rely on text-based exchanges, which may not fully capture the nuances of expression, tone, and body language. While the internet offers the ability to connect with a vast network of individuals and share information on a global scale, it may not facilitate the same depth and authenticity that in-person or phone conversations can provide. As a result, establishing meaningful connections and building genuine relationships in an online setting can be challenging. Research and observations support these ideas. Figure 1. titled “Social Interaction after Electronic Media Use,” shows the potential impact of electronic media on social interaction (source: ResearchGate). This research highlights the need to carefully consider the effects of technology on our interpersonal connections. While technology offers convenience and connectivity, it is essential to strike a balance, ensuring that we do not sacrifice the benefits of face-to-face interactions for the sake of digital convenience.

Social interaction vs. electronic media use: Hours per day of face-to-face social interaction declines as use of electronic media [6]. 

Figure 1:  Increased reliance on electronic media has led to a noticeable decrease in social interaction.

The Limitations and Effects of Digital Communication

In today’s digital age, the limitations and effects of digital communication are becoming increasingly evident. While the phone and internet offer undeniable benefits such as convenience and the ability to connect with people regardless of geographical distance, they fall short in capturing the depth and richness of a face-to-face conversation. The ability to be in the same physical space as the person we’re communicating with, observing their facial expressions, body language, and truly feeling their presence, is something unique and irreplaceable.

Ulrike Schultze, in her thought-provoking TED Talk titled “How Social Media Shapes Identity,” delves further into the impact of digital communication on our lives by stating, “we construct the technology, but the technology also constructs us. We become what technology allows us to become” (Schultze 2015). This concept highlights how our reliance on digital media for interaction has led to a transformation in how we express ourselves and relate to others.

The influence of social media has been profound in shaping our communication patterns and interpersonal dynamics. Research conducted by Kalpathy Subramanian (2017) examined the influence of social media on interpersonal communication, highlighting the changes it brings to the way we interact and express ourselves (Subramanian 2017). The study found that online communication often involves the use of abbreviations, emoticons, and hashtags, which have become embedded in our online discourse. These digital communication shortcuts prioritize speed and efficiency, but they also contribute to a shift away from the physical action of face-to-face conversation, where nonverbal cues and deeper emotional connections can be fostered.

Additionally, the study emphasizes the impact of social media on self-presentation and identity construction. With the rise of platforms like Facebook, Instagram, and Twitter, individuals have a platform to curate and present themselves to the world. This online self-presentation can influence how we perceive ourselves and how others perceive us, potentially shaping our identities in the process. The study further suggests that the emphasis on self-presentation and the pressure to maintain a certain image on social media can lead to increased stress and anxiety among users.

Interviews:

I conducted interviews with individuals from different age groups to gain diverse perspectives on how technology and social media have transformed the way we connect with others. By exploring the experiences of a 21-year-old student and an individual in their 40s, we can better understand the evolving dynamics of interpersonal communication in the digital age. These interviews shed light on the prevalence of digital communication among younger generations, their preference for convenience, and the concerns raised by individuals from older age groups regarding the potential loss of deeper emotional connections.

When I asked the 21-year-old classmate about how technology has changed the way they interact with people in person, they expressed, “To be honest, I spend more time texting, messaging, or posting on social media than actually talking face-to-face with others. It’s just so much more convenient.” This response highlights the prevalence of digital communication among younger generations and their preference for convenience over traditional face-to-face interactions. It suggests that technology has significantly transformed the way young people engage with others, with a greater reliance on virtual interactions rather than in-person conversations. Additionally, the mention of convenience as a driving factor raises questions about the potential trade-offs in terms of depth and quality of interpersonal connections.

To gain insight from an individual in their 40s, I conducted another interview. When asked about their experiences with technology and social media, they shared valuable perspectives. They mentioned that while they appreciate the convenience and accessibility offered by technology, they also expressed concerns about its impact on interpersonal connections. They emphasized the importance of face-to-face interactions in building genuine relationships and expressed reservations about the potential loss of deeper emotional connections in digital communication. Additionally, they discussed the challenges of adapting to rapid technological advancements and the potential generational divide in communication preferences.

Comparing the responses from both interviews, it is evident that there are generational differences in the perception and use of technology for communication. While the 21-year-old classmate emphasized convenience as a primary factor in favor of digital communication, the individual in their 40s highlighted the importance of face-to-face interactions and expressed concerns about the potential loss of meaningful connections in the digital realm. This comparison raises questions about the potential impact of technology on the depth and quality of interpersonal relationships across different age groups. It also invites further exploration into how societal norms and technological advancements shape individuals’ preferences and experiences.

Overall, the interviews revealed a shift towards digital communication among both younger and older individuals, with varying perspectives. While convenience and connectivity are valued, concerns were raised regarding the potential drawbacks, including the pressure to maintain an idealized online presence and the potential loss of genuine connections. It is evident that technology and social media have transformed the way we communicate and interact with others, but the interviews also highlighted the importance of maintaining a balance and recognizing the value of face-to-face interactions in fostering meaningful relationships.

I have recently conducted a survey with my classmates to gather insights on how technology and social media have influenced communication and interaction among students in their daily lives. Although the number of responses is relatively small, the collected data allows us to gain a glimpse into individual experiences and perspectives on this matter.

One of the questions asked in the survey was how often students rely on digital communication methods, such as texting, messaging, or social media, in comparison to engaging in face-to-face conversations. The responses indicated a clear trend towards increased reliance on digital communication, with 85% of participants stating that they frequently use digital platforms as their primary means of communication. This suggests a significant shift away from traditional face-to-face interactions, highlighting the pervasive influence of technology in shaping our communication habits.

Furthermore, the survey explored changes in the quality of interactions and relationships due to the increased use of technology and social media. Interestingly, 63% of respondents reported that they had noticed a decrease in the depth and intimacy of their connections since incorporating more digital communication into their lives. Many participants expressed concerns about the difficulty of conveying emotions effectively through digital channels and the lack of non-verbal cues that are present in face-to-face interactions. It is important to note that while the survey results provide valuable insights into individual experiences, they are not representative of the entire student population. The small sample size limits the generalizability of the findings. However, the data collected does shed light on the potential impact of technology and social media on communication and interaction patterns among students.

Expanding on the topic, I found an insightful figure from Business Insider that sheds light on how people utilize their smartphones (Business Insider). Figure 2. illustrates the average smartphone owner’s daily time spent on various activities. Notably, communication activities such as texting, talking, and social networking account for a significant portion, comprising 59% of phone usage. This data reinforces the impact of digital communication on our daily lives, indicating the substantial role it plays in shaping our interactions with others.  Upon comparing this research with the data, I have gathered, a clear trend emerges, highlighting that an increasing number of individuals primarily utilize their smartphones for communication and interaction purposes.

Figure 2: The breakdown of daily smartphone usage among average users clearly demonstrates that the phone is primarily used for interactions.

The Digital Make Over:

In today’s digital age, the impact of technology on communication and interaction is evident, particularly in educational settings. As a college student, I have witnessed the transformation firsthand, especially with the onset of the COVID-19 pandemic. The convenience of online submissions for assignments has led to a growing trend of students opting to skip physical classes, relying on the ability to submit their work remotely. Unfortunately, this shift has resulted in a decline in face-to-face interactions and communication among classmates and instructors.

The decrease in physical attendance raises concerns about the potential consequences for both learning and social connections within the academic community. Classroom discussions, collaborative projects, and networking opportunities are often fostered through in-person interactions. By limiting these experiences, students may miss out on valuable learning moments, diverse perspectives, and the chance to establish meaningful connections with their peers and instructors.

Simon Lindgren, in his thought-provoking Ted Talk , “Media Are Not Social, but People Are,” delves deeper into the effects of technology and social media on our interactions. Lindgren highlights a significant point by suggesting that while technology may have the potential to make us better individuals, we must also recognize its potential pitfalls. Social media, for instance, can create filter bubbles that limit our exposure to diverse viewpoints, making us less in touch with reality and more narrow-minded. This cautionary reminder emphasizes the need to approach social media thoughtfully, seeking out diverse perspectives and avoiding the pitfalls of echo chambers. Furthermore, it is crucial to strike a balance between utilizing technology for educational purposes and embracing the benefits of in-person interactions. While technology undoubtedly facilitates certain aspects of education, such as online learning platforms and digital resources, we must not overlook the importance of face-to-face communication. In-person interactions allow for nuanced non-verbal cues, deeper emotional connections, and real-time engagement that contribute to a more comprehensive learning experience.

A study conducted by Times Higher Education delved into this topic, providing valuable insights. Figure 3. from the study illustrates a significant drop in attendance levels after the pandemic’s onset. Undeniably, technology played a crucial role in facilitating the transition to online learning. However, it is important to acknowledge that this shift has also led to a decline in face-to-face interactions, which have long been regarded as essential for effective communication and relationship-building. While technology continues to evolve and reshape the educational landscape, it is imperative that we remain mindful of its impact on communication and interaction. Striking a balance between digital tools and in-person engagement can help ensure that we leverage the benefits of technology while preserving the richness of face-to-face interactions. By doing so, we can foster a holistic educational experience that encompasses the best of both worlds and cultivates meaningful connections among students, instructors, and the academic community.

University class attendance plummets post-Covid | Times Higher Education (THE)

Figure 3:  This graph offers convincing proof that the COVID-19 pandemic and the extensive use of online submission techniques are to blame for the sharp reduction in in-person student attendance.

When asked about the impact of online submissions for assignments on physical attendance in classes, the survey revealed mixed responses. While 73% of participants admitted that the convenience of online submissions has led them to skip classes occasionally, 27% emphasized the importance of in-person attendance for better learning outcomes and social interactions. This finding suggests that while technology offers convenience, it also poses challenges in maintaining regular face-to-face interactions, potentially hindering educational and social development, and especially damaging the way we communicate and interact with one another. Students are doing this from a young age, and it comes into huge effect once they are trying to enter the work force and interact with others. When examining the survey data alongside the findings from Times Higher Education, striking similarities become apparent regarding how students approach attending classes in person with the overall conclusion being a massive decrease in students attending class which hinders the chance for real life interaction and communication. the convenience and instant gratification provided by technology can create a sense of detachment and impatience in interpersonal interactions. Online platforms allow for quick and immediate responses, and individuals can easily disconnect or switch between conversations. This can result in a lack of attentiveness and reduced focus on the person with whom one is communicating, leading to a superficial engagement that may hinder the establishment of genuine connections.

Conclusion:

Ultimately, the digital revolution has profoundly transformed the way we communicate and interact with one another. The COVID-19 pandemic has accelerated this transformation, leading to increased reliance on digital tools for socializing, working, and learning. While technology offers convenience and connectivity, it also introduces limitations and potential drawbacks. The shift towards digital communication raises concerns about the depth and quality of our connections, as well as the potential loss of face-to-face interactions. However, it is essential to strike a balance between digital and in-person engagement, recognizing the unique value of physical presence, non-verbal cues, and deeper emotional connections that face-to-face interactions provide. By navigating the digital landscape with mindfulness and intentionality, we can harness the transformative power of technology while preserving and nurturing the essential elements of human connection.

Moving forward, it is crucial to consider the impact of technology on our relationships, mental well-being, and society. As technology continues to evolve, we must be cautious of its potential pitfalls, such as the emphasis on self-presentation, the potential for increased stress and anxiety, and the risk of forgetting how to interact in person. Striking a balance between digital and face-to-face interactions can help ensure that technology enhances, rather than replaces, genuine human connections. By prioritizing meaningful engagement, valuing personal interactions, and leveraging the benefits of technology without compromising the depth and quality of our relationships, we can navigate the digital revolution in a way that enriches our lives and fosters authentic connections.

References:

Ballve, M. (2013, June 5). How much time do we really spend on our smartphones every day? Business Insider. Retrieved April 27, 2023. https://www.businessinsider.com/how-much-time-do-we-spend-on-smartphones-2013-6

Baym, N. (2015). Personal Connections in the Digital Age (2nd ed.). Polity.

Karunaratne, Indika & Atukorale, Ajantha & Perera, Hemamali. (2011). Surveillance of human-       computer interactions: A way forward to detection of users’ Psychological Distress. 2011 IEEE Colloquium on Humanities, Science and Engineering, CHUSER 2011.             10.1109/CHUSER.2011.6163779.  https://www.researchgate.net/figure/Social-interaction-vs-electronic-media-use-Hours-per-day-of-face-to-face-social_fig1_254056654

Lindgren, S. (2015, May 20). Media are not social, but people are | Simon Lindgren | TEDxUmeå . YouTube. Retrieved April 27, 2023, from https://www.youtube.com/watch?v=nQ5S7VIWE6k

Ross, J., McKie, A., Havergal, C., Lem, P., & Basken, P. (2022, October 24). Class attendance plummets post-Covid . Times Higher Education (THE). Retrieved April 27, 2023, from https://www.timeshighereducation.com/news/class-attendance-plummets-post-covid

Schultze, U. (2015, April 23). How social media shapes identity | Ulrike Schultze | TEDxSMU . YouTube. Retrieved April 27, 2023, from https://www.youtube.com/watch?v=CSpyZor-Byk

Subramanian, Dr. K .R. “Influence of Social Media in Interpersonal Communication – Researchgate.” ResearchGate.Net , www.researchgate.net/profile/Kalpathy-Subramanian/publication/319422885_Influence_of_Social_Media_in_Interpersonal_Communication/links/59a96d950f7e9b2790120fea/Influence-of-Social-Media-in-Interpersonal-Communication.pdf. Accessed 12 May 2023 .

And So It Was Written

impact of digital technology on society essay

Author: Anonymous

Published: June 9, 2023

Word Count: 3308

Reading time: ~ 12 minutes

Edit Link: (emailed to author) Request Now

Creative Commons CC-BY=ND Attribution-NoDerivs License

ORGANIZED BY

Articles , Published

MORE TO READ

Provide feedback cancel reply.

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

A TRU Writer powered SPLOT : Visual Life

Blame @cogdog — Up ↑

Advertisement

Advertisement

Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review

  • Published: 21 November 2022
  • Volume 28 , pages 6695–6726, ( 2023 )

Cite this article

  • Stella Timotheou 1 ,
  • Ourania Miliou 1 ,
  • Yiannis Dimitriadis 2 ,
  • Sara Villagrá Sobrino 2 ,
  • Nikoleta Giannoutsou 2 ,
  • Romina Cachia 3 ,
  • Alejandra Martínez Monés 2 &
  • Andri Ioannou   ORCID: orcid.org/0000-0002-3570-6578 1  

43k Accesses

36 Citations

4 Altmetric

Explore all metrics

Digital technologies have brought changes to the nature and scope of education and led education systems worldwide to adopt strategies and policies for ICT integration. The latter brought about issues regarding the quality of teaching and learning with ICTs, especially concerning the understanding, adaptation, and design of the education systems in accordance with current technological trends. These issues were emphasized during the recent COVID-19 pandemic that accelerated the use of digital technologies in education, generating questions regarding digitalization in schools. Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses. Such results have engendered the need for schools to learn and build upon the experience to enhance their digital capacity and preparedness, increase their digitalization levels, and achieve a successful digital transformation. Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem, there is a need to show how these impacts are interconnected and identify the factors that can encourage an effective and efficient change in the school environments. For this purpose, we conducted a non-systematic literature review. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors that affect the schools’ digital capacity and digital transformation. The findings suggest that ICT integration in schools impacts more than just students’ performance; it affects several other school-related aspects and stakeholders, too. Furthermore, various factors affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the digital transformation process. The study results shed light on how ICTs can positively contribute to the digital transformation of schools and which factors should be considered for schools to achieve effective and efficient change.

Similar content being viewed by others

impact of digital technology on society essay

A comprehensive AI policy education framework for university teaching and learning

Cecilia Ka Yuk Chan

impact of digital technology on society essay

Inclusive education: Developments and challenges in South Africa

Petra Engelbrecht

impact of digital technology on society essay

Key factors in digital literacy in learning and education: a systematic literature review using text mining

Catherine Audrin & Bertrand Audrin

Avoid common mistakes on your manuscript.

1 Introduction

Digital technologies have brought changes to the nature and scope of education. Versatile and disruptive technological innovations, such as smart devices, the Internet of Things (IoT), artificial intelligence (AI), augmented reality (AR) and virtual reality (VR), blockchain, and software applications have opened up new opportunities for advancing teaching and learning (Gaol & Prasolova-Førland, 2021 ; OECD, 2021 ). Hence, in recent years, education systems worldwide have increased their investment in the integration of information and communication technology (ICT) (Fernández-Gutiérrez et al., 2020 ; Lawrence & Tar, 2018 ) and prioritized their educational agendas to adapt strategies or policies around ICT integration (European Commission, 2019 ). The latter brought about issues regarding the quality of teaching and learning with ICTs (Bates, 2015 ), especially concerning the understanding, adaptation, and design of education systems in accordance with current technological trends (Balyer & Öz, 2018 ). Studies have shown that despite the investment made in the integration of technology in schools, the results have not been promising, and the intended outcomes have not yet been achieved (Delgado et al., 2015 ; Lawrence & Tar, 2018 ). These issues were exacerbated during the COVID-19 pandemic, which forced teaching across education levels to move online (Daniel, 2020 ). Online teaching accelerated the use of digital technologies generating questions regarding the process, the nature, the extent, and the effectiveness of digitalization in schools (Cachia et al., 2021 ; König et al., 2020 ). Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses (Blaskó et al., 2021 ; Di Pietro et al, 2020 ). Such results have engendered the need for schools to learn and build upon the experience in order to enhance their digital capacity (European Commission, 2020 ) and increase their digitalization levels (Costa et al., 2021 ). Digitalization offers possibilities for fundamental improvement in schools (OECD, 2021 ; Rott & Marouane, 2018 ) and touches many aspects of a school’s development (Delcker & Ifenthaler, 2021 ) . However, it is a complex process that requires large-scale transformative changes beyond the technical aspects of technology and infrastructure (Pettersson, 2021 ). Namely, digitalization refers to “ a series of deep and coordinated culture, workforce, and technology shifts and operating models ” (Brooks & McCormack, 2020 , p. 3) that brings cultural, organizational, and operational change through the integration of digital technologies (JISC, 2020 ). A successful digital transformation requires that schools increase their digital capacity levels, establishing the necessary “ culture, policies, infrastructure as well as digital competence of students and staff to support the effective integration of technology in teaching and learning practices ” (Costa et al, 2021 , p.163).

Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem (Eng, 2005 ), there is a need to show how the different elements of the impact are interconnected and to identify the factors that can encourage an effective and efficient change in the school environment. To address the issues outlined above, we formulated the following research questions:

a) What is the impact of digital technologies on education?

b) Which factors might affect a school’s digital capacity and transformation?

In the present investigation, we conducted a non-systematic literature review of publications pertaining to the impact of digital technologies on education and the factors that affect a school’s digital capacity and transformation. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors which affect the schools’ digital capacity and digital transformation.

2 Methodology

The non-systematic literature review presented herein covers the main theories and research published over the past 17 years on the topic. It is based on meta-analyses and review papers found in scholarly, peer-reviewed content databases and other key studies and reports related to the concepts studied (e.g., digitalization, digital capacity) from professional and international bodies (e.g., the OECD). We searched the Scopus database, which indexes various online journals in the education sector with an international scope, to collect peer-reviewed academic papers. Furthermore, we used an all-inclusive Google Scholar search to include relevant key terms or to include studies found in the reference list of the peer-reviewed papers, and other key studies and reports related to the concepts studied by professional and international bodies. Lastly, we gathered sources from the Publications Office of the European Union ( https://op.europa.eu/en/home ); namely, documents that refer to policies related to digital transformation in education.

Regarding search terms, we first searched resources on the impact of digital technologies on education by performing the following search queries: “impact” OR “effects” AND “digital technologies” AND “education”, “impact” OR “effects” AND “ICT” AND “education”. We further refined our results by adding the terms “meta-analysis” and “review” or by adjusting the search options based on the features of each database to avoid collecting individual studies that would provide limited contributions to a particular domain. We relied on meta-analyses and review studies as these consider the findings of multiple studies to offer a more comprehensive view of the research in a given area (Schuele & Justice, 2006 ). Specifically, meta-analysis studies provided quantitative evidence based on statistically verifiable results regarding the impact of educational interventions that integrate digital technologies in school classrooms (Higgins et al., 2012 ; Tolani-Brown et al., 2011 ).

However, quantitative data does not offer explanations for the challenges or difficulties experienced during ICT integration in learning and teaching (Tolani-Brown et al., 2011 ). To fill this gap, we analyzed literature reviews and gathered in-depth qualitative evidence of the benefits and implications of technology integration in schools. In the analysis presented herein, we also included policy documents and reports from professional and international bodies and governmental reports, which offered useful explanations of the key concepts of this study and provided recent evidence on digital capacity and transformation in education along with policy recommendations. The inclusion and exclusion criteria that were considered in this study are presented in Table 1 .

To ensure a reliable extraction of information from each study and assist the research synthesis we selected the study characteristics of interest (impact) and constructed coding forms. First, an overview of the synthesis was provided by the principal investigator who described the processes of coding, data entry, and data management. The coders followed the same set of instructions but worked independently. To ensure a common understanding of the process between coders, a sample of ten studies was tested. The results were compared, and the discrepancies were identified and resolved. Additionally, to ensure an efficient coding process, all coders participated in group meetings to discuss additions, deletions, and modifications (Stock, 1994 ). Due to the methodological diversity of the studied documents we began to synthesize the literature review findings based on similar study designs. Specifically, most of the meta-analysis studies were grouped in one category due to the quantitative nature of the measured impact. These studies tended to refer to student achievement (Hattie et al., 2014 ). Then, we organized the themes of the qualitative studies in several impact categories. Lastly, we synthesized both review and meta-analysis data across the categories. In order to establish a collective understanding of the concept of impact, we referred to a previous impact study by Balanskat ( 2009 ) which investigated the impact of technology in primary schools. In this context, the impact had a more specific ICT-related meaning and was described as “ a significant influence or effect of ICT on the measured or perceived quality of (parts of) education ” (Balanskat, 2009 , p. 9). In the study presented herein, the main impacts are in relation to learning and learners, teaching, and teachers, as well as other key stakeholders who are directly or indirectly connected to the school unit.

The study’s results identified multiple dimensions of the impact of digital technologies on students’ knowledge, skills, and attitudes; on equality, inclusion, and social integration; on teachers’ professional and teaching practices; and on other school-related aspects and stakeholders. The data analysis indicated various factors that might affect the schools’ digital capacity and transformation, such as digital competencies, the teachers’ personal characteristics and professional development, as well as the school’s leadership and management, administration, infrastructure, etc. The impacts and factors found in the literature review are presented below.

3.1 Impacts of digital technologies on students’ knowledge, skills, attitudes, and emotions

The impact of ICT use on students’ knowledge, skills, and attitudes has been investigated early in the literature. Eng ( 2005 ) found a small positive effect between ICT use and students' learning. Specifically, the author reported that access to computer-assisted instruction (CAI) programs in simulation or tutorial modes—used to supplement rather than substitute instruction – could enhance student learning. The author reported studies showing that teachers acknowledged the benefits of ICT on pupils with special educational needs; however, the impact of ICT on students' attainment was unclear. Balanskat et al. ( 2006 ) found a statistically significant positive association between ICT use and higher student achievement in primary and secondary education. The authors also reported improvements in the performance of low-achieving pupils. The use of ICT resulted in further positive gains for students, namely increased attention, engagement, motivation, communication and process skills, teamwork, and gains related to their behaviour towards learning. Evidence from qualitative studies showed that teachers, students, and parents recognized the positive impact of ICT on students' learning regardless of their competence level (strong/weak students). Punie et al. ( 2006 ) documented studies that showed positive results of ICT-based learning for supporting low-achieving pupils and young people with complex lives outside the education system. Liao et al. ( 2007 ) reported moderate positive effects of computer application instruction (CAI, computer simulations, and web-based learning) over traditional instruction on primary school student's achievement. Similarly, Tamim et al. ( 2011 ) reported small to moderate positive effects between the use of computer technology (CAI, ICT, simulations, computer-based instruction, digital and hypermedia) and student achievement in formal face-to-face classrooms compared to classrooms that did not use technology. Jewitt et al., ( 2011 ) found that the use of learning platforms (LPs) (virtual learning environments, management information systems, communication technologies, and information- and resource-sharing technologies) in schools allowed primary and secondary students to access a wider variety of quality learning resources, engage in independent and personalized learning, and conduct self- and peer-review; LPs also provide opportunities for teacher assessment and feedback. Similar findings were reported by Fu ( 2013 ), who documented a list of benefits and opportunities of ICT use. According to the author, the use of ICTs helps students access digital information and course content effectively and efficiently, supports student-centered and self-directed learning, as well as the development of a creative learning environment where more opportunities for critical thinking skills are offered, and promotes collaborative learning in a distance-learning environment. Higgins et al. ( 2012 ) found consistent but small positive associations between the use of technology and learning outcomes of school-age learners (5–18-year-olds) in studies linking the provision and use of technology with attainment. Additionally, Chauhan ( 2017 ) reported a medium positive effect of technology on the learning effectiveness of primary school students compared to students who followed traditional learning instruction.

The rise of mobile technologies and hardware devices instigated investigations into their impact on teaching and learning. Sung et al. ( 2016 ) reported a moderate effect on students' performance from the use of mobile devices in the classroom compared to the use of desktop computers or the non-use of mobile devices. Schmid et al. ( 2014 ) reported medium–low to low positive effects of technology integration (e.g., CAI, ICTs) in the classroom on students' achievement and attitude compared to not using technology or using technology to varying degrees. Tamim et al. ( 2015 ) found a low statistically significant effect of the use of tablets and other smart devices in educational contexts on students' achievement outcomes. The authors suggested that tablets offered additional advantages to students; namely, they reported improvements in students’ notetaking, organizational and communication skills, and creativity. Zheng et al. ( 2016 ) reported a small positive effect of one-to-one laptop programs on students’ academic achievement across subject areas. Additional reported benefits included student-centered, individualized, and project-based learning enhanced learner engagement and enthusiasm. Additionally, the authors found that students using one-to-one laptop programs tended to use technology more frequently than in non-laptop classrooms, and as a result, they developed a range of skills (e.g., information skills, media skills, technology skills, organizational skills). Haßler et al. ( 2016 ) found that most interventions that included the use of tablets across the curriculum reported positive learning outcomes. However, from 23 studies, five reported no differences, and two reported a negative effect on students' learning outcomes. Similar results were indicated by Kalati and Kim ( 2022 ) who investigated the effect of touchscreen technologies on young students’ learning. Specifically, from 53 studies, 34 advocated positive effects of touchscreen devices on children’s learning, 17 obtained mixed findings and two studies reported negative effects.

More recently, approaches that refer to the impact of gamification with the use of digital technologies on teaching and learning were also explored. A review by Pan et al. ( 2022 ) that examined the role of learning games in fostering mathematics education in K-12 settings, reported that gameplay improved students’ performance. Integration of digital games in teaching was also found as a promising pedagogical practice in STEM education that could lead to increased learning gains (Martinez et al., 2022 ; Wang et al., 2022 ). However, although Talan et al. ( 2020 ) reported a medium effect of the use of educational games (both digital and non-digital) on academic achievement, the effect of non-digital games was higher.

Over the last two years, the effects of more advanced technologies on teaching and learning were also investigated. Garzón and Acevedo ( 2019 ) found that AR applications had a medium effect on students' learning outcomes compared to traditional lectures. Similarly, Garzón et al. ( 2020 ) showed that AR had a medium impact on students' learning gains. VR applications integrated into various subjects were also found to have a moderate effect on students’ learning compared to control conditions (traditional classes, e.g., lectures, textbooks, and multimedia use, e.g., images, videos, animation, CAI) (Chen et al., 2022b ). Villena-Taranilla et al. ( 2022 ) noted the moderate effect of VR technologies on students’ learning when these were applied in STEM disciplines. In the same meta-analysis, Villena-Taranilla et al. ( 2022 ) highlighted the role of immersive VR, since its effect on students’ learning was greater (at a high level) across educational levels (K-6) compared to semi-immersive and non-immersive integrations. In another meta-analysis study, the effect size of the immersive VR was small and significantly differentiated across educational levels (Coban et al., 2022 ). The impact of AI on education was investigated by Su and Yang ( 2022 ) and Su et al. ( 2022 ), who showed that this technology significantly improved students’ understanding of AI computer science and machine learning concepts.

It is worth noting that the vast majority of studies referred to learning gains in specific subjects. Specifically, several studies examined the impact of digital technologies on students’ literacy skills and reported positive effects on language learning (Balanskat et al., 2006 ; Grgurović et al., 2013 ; Friedel et al., 2013 ; Zheng et al., 2016 ; Chen et al., 2022b ; Savva et al., 2022 ). Also, several studies documented positive effects on specific language learning areas, namely foreign language learning (Kao, 2014 ), writing (Higgins et al., 2012 ; Wen & Walters, 2022 ; Zheng et al., 2016 ), as well as reading and comprehension (Cheung & Slavin, 2011 ; Liao et al., 2007 ; Schwabe et al., 2022 ). ICTs were also found to have a positive impact on students' performance in STEM (science, technology, engineering, and mathematics) disciplines (Arztmann et al., 2022 ; Bado, 2022 ; Villena-Taranilla et al., 2022 ; Wang et al., 2022 ). Specifically, a number of studies reported positive impacts on students’ achievement in mathematics (Balanskat et al., 2006 ; Hillmayr et al., 2020 ; Li & Ma, 2010 ; Pan et al., 2022 ; Ran et al., 2022 ; Verschaffel et al., 2019 ; Zheng et al., 2016 ). Furthermore, studies documented positive effects of ICTs on science learning (Balanskat et al., 2006 ; Liao et al., 2007 ; Zheng et al., 2016 ; Hillmayr et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ; Lei et al., 2022a ). Çelik ( 2022 ) also noted that computer simulations can help students understand learning concepts related to science. Furthermore, some studies documented that the use of ICTs had a positive impact on students’ achievement in other subjects, such as geography, history, music, and arts (Chauhan, 2017 ; Condie & Munro, 2007 ), and design and technology (Balanskat et al., 2006 ).

More specific positive learning gains were reported in a number of skills, e.g., problem-solving skills and pattern exploration skills (Higgins et al., 2012 ), metacognitive learning outcomes (Verschaffel et al., 2019 ), literacy skills, computational thinking skills, emotion control skills, and collaborative inquiry skills (Lu et al., 2022 ; Su & Yang, 2022 ; Su et al., 2022 ). Additionally, several investigations have reported benefits from the use of ICT on students’ creativity (Fielding & Murcia, 2022 ; Liu et al., 2022 ; Quah & Ng, 2022 ). Lastly, digital technologies were also found to be beneficial for enhancing students’ lifelong learning skills (Haleem et al., 2022 ).

Apart from gaining knowledge and skills, studies also reported improvement in motivation and interest in mathematics (Higgins et. al., 2019 ; Fadda et al., 2022 ) and increased positive achievement emotions towards several subjects during interventions using educational games (Lei et al., 2022a ). Chen et al. ( 2022a ) also reported a small but positive effect of digital health approaches in bullying and cyberbullying interventions with K-12 students, demonstrating that technology-based approaches can help reduce bullying and related consequences by providing emotional support, empowerment, and change of attitude. In their meta-review study, Su et al. ( 2022 ) also documented that AI technologies effectively strengthened students’ attitudes towards learning. In another meta-analysis, Arztmann et al. ( 2022 ) reported positive effects of digital games on motivation and behaviour towards STEM subjects.

3.2 Impacts of digital technologies on equality, inclusion and social integration

Although most of the reviewed studies focused on the impact of ICTs on students’ knowledge, skills, and attitudes, reports were also made on other aspects in the school context, such as equality, inclusion, and social integration. Condie and Munro ( 2007 ) documented research interventions investigating how ICT can support pupils with additional or special educational needs. While those interventions were relatively small scale and mostly based on qualitative data, their findings indicated that the use of ICTs enabled the development of communication, participation, and self-esteem. A recent meta-analysis (Baragash et al., 2022 ) with 119 participants with different disabilities, reported a significant overall effect size of AR on their functional skills acquisition. Koh’s meta-analysis ( 2022 ) also revealed that students with intellectual and developmental disabilities improved their competence and performance when they used digital games in the lessons.

Istenic Starcic and Bagon ( 2014 ) found that the role of ICT in inclusion and the design of pedagogical and technological interventions was not sufficiently explored in educational interventions with people with special needs; however, some benefits of ICT use were found in students’ social integration. The issue of gender and technology use was mentioned in a small number of studies. Zheng et al. ( 2016 ) reported a statistically significant positive interaction between one-to-one laptop programs and gender. Specifically, the results showed that girls and boys alike benefitted from the laptop program, but the effect on girls’ achievement was smaller than that on boys’. Along the same lines, Arztmann et al. ( 2022 ) reported no difference in the impact of game-based learning between boys and girls, arguing that boys and girls equally benefited from game-based interventions in STEM domains. However, results from a systematic review by Cussó-Calabuig et al. ( 2018 ) found limited and low-quality evidence on the effects of intensive use of computers on gender differences in computer anxiety, self-efficacy, and self-confidence. Based on their view, intensive use of computers can reduce gender differences in some areas and not in others, depending on contextual and implementation factors.

3.3 Impacts of digital technologies on teachers’ professional and teaching practices

Various research studies have explored the impact of ICT on teachers’ instructional practices and student assessment. Friedel et al. ( 2013 ) found that the use of mobile devices by students enabled teachers to successfully deliver content (e.g., mobile serious games), provide scaffolding, and facilitate synchronous collaborative learning. The integration of digital games in teaching and learning activities also gave teachers the opportunity to study and apply various pedagogical practices (Bado, 2022 ). Specifically, Bado ( 2022 ) found that teachers who implemented instructional activities in three stages (pre-game, game, and post-game) maximized students’ learning outcomes and engagement. For instance, during the pre-game stage, teachers focused on lectures and gameplay training, at the game stage teachers provided scaffolding on content, addressed technical issues, and managed the classroom activities. During the post-game stage, teachers organized activities for debriefing to ensure that the gameplay had indeed enhanced students’ learning outcomes.

Furthermore, ICT can increase efficiency in lesson planning and preparation by offering possibilities for a more collaborative approach among teachers. The sharing of curriculum plans and the analysis of students’ data led to clearer target settings and improvements in reporting to parents (Balanskat et al., 2006 ).

Additionally, the use and application of digital technologies in teaching and learning were found to enhance teachers’ digital competence. Balanskat et al. ( 2006 ) documented studies that revealed that the use of digital technologies in education had a positive effect on teachers’ basic ICT skills. The greatest impact was found on teachers with enough experience in integrating ICTs in their teaching and/or who had recently participated in development courses for the pedagogical use of technologies in teaching. Punie et al. ( 2006 ) reported that the provision of fully equipped multimedia portable computers and the development of online teacher communities had positive impacts on teachers’ confidence and competence in the use of ICTs.

Moreover, online assessment via ICTs benefits instruction. In particular, online assessments support the digitalization of students’ work and related logistics, allow teachers to gather immediate feedback and readjust to new objectives, and support the improvement of the technical quality of tests by providing more accurate results. Additionally, the capabilities of ICTs (e.g., interactive media, simulations) create new potential methods of testing specific skills, such as problem-solving and problem-processing skills, meta-cognitive skills, creativity and communication skills, and the ability to work productively in groups (Punie et al., 2006 ).

3.4 Impacts of digital technologies on other school-related aspects and stakeholders

There is evidence that the effective use of ICTs and the data transmission offered by broadband connections help improve administration (Balanskat et al., 2006 ). Specifically, ICTs have been found to provide better management systems to schools that have data gathering procedures in place. Condie and Munro ( 2007 ) reported impacts from the use of ICTs in schools in the following areas: attendance monitoring, assessment records, reporting to parents, financial management, creation of repositories for learning resources, and sharing of information amongst staff. Such data can be used strategically for self-evaluation and monitoring purposes which in turn can result in school improvements. Additionally, they reported that online access to other people with similar roles helped to reduce headteachers’ isolation by offering them opportunities to share insights into the use of ICT in learning and teaching and how it could be used to support school improvement. Furthermore, ICTs provided more efficient and successful examination management procedures, namely less time-consuming reporting processes compared to paper-based examinations and smooth communications between schools and examination authorities through electronic data exchange (Punie et al., 2006 ).

Zheng et al. ( 2016 ) reported that the use of ICTs improved home-school relationships. Additionally, Escueta et al. ( 2017 ) reported several ICT programs that had improved the flow of information from the school to parents. Particularly, they documented that the use of ICTs (learning management systems, emails, dedicated websites, mobile phones) allowed for personalized and customized information exchange between schools and parents, such as attendance records, upcoming class assignments, school events, and students’ grades, which generated positive results on students’ learning outcomes and attainment. Such information exchange between schools and families prompted parents to encourage their children to put more effort into their schoolwork.

The above findings suggest that the impact of ICT integration in schools goes beyond students’ performance in school subjects. Specifically, it affects a number of school-related aspects, such as equality and social integration, professional and teaching practices, and diverse stakeholders. In Table 2 , we summarize the different impacts of digital technologies on school stakeholders based on the literature review, while in Table 3 we organized the tools/platforms and practices/policies addressed in the meta-analyses, literature reviews, EU reports, and international bodies included in the manuscript.

Additionally, based on the results of the literature review, there are many types of digital technologies with different affordances (see, for example, studies on VR vs Immersive VR), which evolve over time (e.g. starting from CAIs in 2005 to Augmented and Virtual reality 2020). Furthermore, these technologies are linked to different pedagogies and policy initiatives, which are critical factors in the study of impact. Table 3 summarizes the different tools and practices that have been used to examine the impact of digital technologies on education since 2005 based on the review results.

3.5 Factors that affect the integration of digital technologies

Although the analysis of the literature review demonstrated different impacts of the use of digital technology on education, several authors highlighted the importance of various factors, besides the technology itself, that affect this impact. For example, Liao et al. ( 2007 ) suggested that future studies should carefully investigate which factors contribute to positive outcomes by clarifying the exact relationship between computer applications and learning. Additionally, Haßler et al., ( 2016 ) suggested that the neutral findings regarding the impact of tablets on students learning outcomes in some of the studies included in their review should encourage educators, school leaders, and school officials to further investigate the potential of such devices in teaching and learning. Several other researchers suggested that a number of variables play a significant role in the impact of ICTs on students’ learning that could be attributed to the school context, teaching practices and professional development, the curriculum, and learners’ characteristics (Underwood, 2009 ; Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Tang et al., 2022 ).

3.5.1 Digital competencies

One of the most common challenges reported in studies that utilized digital tools in the classroom was the lack of students’ skills on how to use them. Fu ( 2013 ) found that students’ lack of technical skills is a barrier to the effective use of ICT in the classroom. Tamim et al. ( 2015 ) reported that students faced challenges when using tablets and smart mobile devices, associated with the technical issues or expertise needed for their use and the distracting nature of the devices and highlighted the need for teachers’ professional development. Higgins et al. ( 2012 ) reported that skills training about the use of digital technologies is essential for learners to fully exploit the benefits of instruction.

Delgado et al. ( 2015 ), meanwhile, reported studies that showed a strong positive association between teachers’ computer skills and students’ use of computers. Teachers’ lack of ICT skills and familiarization with technologies can become a constraint to the effective use of technology in the classroom (Balanskat et al., 2006 ; Delgado et al., 2015 ).

It is worth noting that the way teachers are introduced to ICTs affects the impact of digital technologies on education. Previous studies have shown that teachers may avoid using digital technologies due to limited digital skills (Balanskat, 2006 ), or they prefer applying “safe” technologies, namely technologies that their own teachers used and with which they are familiar (Condie & Munro, 2007 ). In this regard, the provision of digital skills training and exposure to new digital tools might encourage teachers to apply various technologies in their lessons (Condie & Munro, 2007 ). Apart from digital competence, technical support in the school setting has also been shown to affect teachers’ use of technology in their classrooms (Delgado et al., 2015 ). Ferrari et al. ( 2011 ) found that while teachers’ use of ICT is high, 75% stated that they needed more institutional support and a shift in the mindset of educational actors to achieve more innovative teaching practices. The provision of support can reduce time and effort as well as cognitive constraints, which could cause limited ICT integration in the school lessons by teachers (Escueta et al., 2017 ).

3.5.2 Teachers’ personal characteristics, training approaches, and professional development

Teachers’ personal characteristics and professional development affect the impact of digital technologies on education. Specifically, Cheok and Wong ( 2015 ) found that teachers’ personal characteristics (e.g., anxiety, self-efficacy) are associated with their satisfaction and engagement with technology. Bingimlas ( 2009 ) reported that lack of confidence, resistance to change, and negative attitudes in using new technologies in teaching are significant determinants of teachers’ levels of engagement in ICT. The same author reported that the provision of technical support, motivation support (e.g., awards, sufficient time for planning), and training on how technologies can benefit teaching and learning can eliminate the above barriers to ICT integration. Archer et al. ( 2014 ) found that comfort levels in using technology are an important predictor of technology integration and argued that it is essential to provide teachers with appropriate training and ongoing support until they are comfortable with using ICTs in the classroom. Hillmayr et al. ( 2020 ) documented that training teachers on ICT had an important effecton students’ learning.

According to Balanskat et al. ( 2006 ), the impact of ICTs on students’ learning is highly dependent on the teachers’ capacity to efficiently exploit their application for pedagogical purposes. Results obtained from the Teaching and Learning International Survey (TALIS) (OECD, 2021 ) revealed that although schools are open to innovative practices and have the capacity to adopt them, only 39% of teachers in the European Union reported that they are well or very well prepared to use digital technologies for teaching. Li and Ma ( 2010 ) and Hardman ( 2019 ) showed that the positive effect of technology on students’ achievement depends on the pedagogical practices used by teachers. Schmid et al. ( 2014 ) reported that learning was best supported when students were engaged in active, meaningful activities with the use of technological tools that provided cognitive support. Tamim et al. ( 2015 ) compared two different pedagogical uses of tablets and found a significant moderate effect when the devices were used in a student-centered context and approach rather than within teacher-led environments. Similarly, Garzón and Acevedo ( 2019 ) and Garzón et al. ( 2020 ) reported that the positive results from the integration of AR applications could be attributed to the existence of different variables which could influence AR interventions (e.g., pedagogical approach, learning environment, and duration of the intervention). Additionally, Garzón et al. ( 2020 ) suggested that the pedagogical resources that teachers used to complement their lectures and the pedagogical approaches they applied were crucial to the effective integration of AR on students’ learning gains. Garzón and Acevedo ( 2019 ) also emphasized that the success of a technology-enhanced intervention is based on both the technology per se and its characteristics and on the pedagogical strategies teachers choose to implement. For instance, their results indicated that the collaborative learning approach had the highest impact on students’ learning gains among other approaches (e.g., inquiry-based learning, situated learning, or project-based learning). Ran et al. ( 2022 ) also found that the use of technology to design collaborative and communicative environments showed the largest moderator effects among the other approaches.

Hattie ( 2008 ) reported that the effective use of computers is associated with training teachers in using computers as a teaching and learning tool. Zheng et al. ( 2016 ) noted that in addition to the strategies teachers adopt in teaching, ongoing professional development is also vital in ensuring the success of technology implementation programs. Sung et al. ( 2016 ) found that research on the use of mobile devices to support learning tends to report that the insufficient preparation of teachers is a major obstacle in implementing effective mobile learning programs in schools. Friedel et al. ( 2013 ) found that providing training and support to teachers increased the positive impact of the interventions on students’ learning gains. Trucano ( 2005 ) argued that positive impacts occur when digital technologies are used to enhance teachers’ existing pedagogical philosophies. Higgins et al. ( 2012 ) found that the types of technologies used and how they are used could also affect students’ learning. The authors suggested that training and professional development of teachers that focuses on the effective pedagogical use of technology to support teaching and learning is an important component of successful instructional approaches (Higgins et al., 2012 ). Archer et al. ( 2014 ) found that studies that reported ICT interventions during which teachers received training and support had moderate positive effects on students’ learning outcomes, which were significantly higher than studies where little or no detail about training and support was mentioned. Fu ( 2013 ) reported that the lack of teachers’ knowledge and skills on the technical and instructional aspects of ICT use in the classroom, in-service training, pedagogy support, technical and financial support, as well as the lack of teachers’ motivation and encouragement to integrate ICT on their teaching were significant barriers to the integration of ICT in education.

3.5.3 School leadership and management

Management and leadership are important cornerstones in the digital transformation process (Pihir et al., 2018 ). Zheng et al. ( 2016 ) documented leadership among the factors positively affecting the successful implementation of technology integration in schools. Strong leadership, strategic planning, and systematic integration of digital technologies are prerequisites for the digital transformation of education systems (Ređep, 2021 ). Management and leadership play a significant role in formulating policies that are translated into practice and ensure that developments in ICT become embedded into the life of the school and in the experiences of staff and pupils (Condie & Munro, 2007 ). Policy support and leadership must include the provision of an overall vision for the use of digital technologies in education, guidance for students and parents, logistical support, as well as teacher training (Conrads et al., 2017 ). Unless there is a commitment throughout the school, with accountability for progress at key points, it is unlikely for ICT integration to be sustained or become part of the culture (Condie & Munro, 2007 ). To achieve this, principals need to adopt and promote a whole-institution strategy and build a strong mutual support system that enables the school’s technological maturity (European Commission, 2019 ). In this context, school culture plays an essential role in shaping the mindsets and beliefs of school actors towards successful technology integration. Condie and Munro ( 2007 ) emphasized the importance of the principal’s enthusiasm and work as a source of inspiration for the school staff and the students to cultivate a culture of innovation and establish sustainable digital change. Specifically, school leaders need to create conditions in which the school staff is empowered to experiment and take risks with technology (Elkordy & Lovinelli, 2020 ).

In order for leaders to achieve the above, it is important to develop capacities for learning and leading, advocating professional learning, and creating support systems and structures (European Commission, 2019 ). Digital technology integration in education systems can be challenging and leadership needs guidance to achieve it. Such guidance can be introduced through the adoption of new methods and techniques in strategic planning for the integration of digital technologies (Ređep, 2021 ). Even though the role of leaders is vital, the relevant training offered to them has so far been inadequate. Specifically, only a third of the education systems in Europe have put in place national strategies that explicitly refer to the training of school principals (European Commission, 2019 , p. 16).

3.5.4 Connectivity, infrastructure, and government and other support

The effective integration of digital technologies across levels of education presupposes the development of infrastructure, the provision of digital content, and the selection of proper resources (Voogt et al., 2013 ). Particularly, a high-quality broadband connection in the school increases the quality and quantity of educational activities. There is evidence that ICT increases and formalizes cooperative planning between teachers and cooperation with managers, which in turn has a positive impact on teaching practices (Balanskat et al., 2006 ). Additionally, ICT resources, including software and hardware, increase the likelihood of teachers integrating technology into the curriculum to enhance their teaching practices (Delgado et al., 2015 ). For example, Zheng et al. ( 2016 ) found that the use of one-on-one laptop programs resulted in positive changes in teaching and learning, which would not have been accomplished without the infrastructure and technical support provided to teachers. Delgado et al. ( 2015 ) reported that limited access to technology (insufficient computers, peripherals, and software) and lack of technical support are important barriers to ICT integration. Access to infrastructure refers not only to the availability of technology in a school but also to the provision of a proper amount and the right types of technology in locations where teachers and students can use them. Effective technical support is a central element of the whole-school strategy for ICT (Underwood, 2009 ). Bingimlas ( 2009 ) reported that lack of technical support in the classroom and whole-school resources (e.g., failing to connect to the Internet, printers not printing, malfunctioning computers, and working on old computers) are significant barriers that discourage the use of ICT by teachers. Moreover, poor quality and inadequate hardware maintenance, and unsuitable educational software may discourage teachers from using ICTs (Balanskat et al., 2006 ; Bingimlas, 2009 ).

Government support can also impact the integration of ICTs in teaching. Specifically, Balanskat et al. ( 2006 ) reported that government interventions and training programs increased teachers’ enthusiasm and positive attitudes towards ICT and led to the routine use of embedded ICT.

Lastly, another important factor affecting digital transformation is the development and quality assurance of digital learning resources. Such resources can be support textbooks and related materials or resources that focus on specific subjects or parts of the curriculum. Policies on the provision of digital learning resources are essential for schools and can be achieved through various actions. For example, some countries are financing web portals that become repositories, enabling teachers to share resources or create their own. Additionally, they may offer e-learning opportunities or other services linked to digital education. In other cases, specific agencies of projects have also been set up to develop digital resources (Eurydice, 2019 ).

3.5.5 Administration and digital data management

The digital transformation of schools involves organizational improvements at the level of internal workflows, communication between the different stakeholders, and potential for collaboration. Vuorikari et al. ( 2020 ) presented evidence that digital technologies supported the automation of administrative practices in schools and reduced the administration’s workload. There is evidence that digital data affects the production of knowledge about schools and has the power to transform how schooling takes place. Specifically, Sellar ( 2015 ) reported that data infrastructure in education is developing due to the demand for “ information about student outcomes, teacher quality, school performance, and adult skills, associated with policy efforts to increase human capital and productivity practices ” (p. 771). In this regard, practices, such as datafication which refers to the “ translation of information about all kinds of things and processes into quantified formats” have become essential for decision-making based on accountability reports about the school’s quality. The data could be turned into deep insights about education or training incorporating ICTs. For example, measuring students’ online engagement with the learning material and drawing meaningful conclusions can allow teachers to improve their educational interventions (Vuorikari et al., 2020 ).

3.5.6 Students’ socioeconomic background and family support

Research show that the active engagement of parents in the school and their support for the school’s work can make a difference to their children’s attitudes towards learning and, as a result, their achievement (Hattie, 2008 ). In recent years, digital technologies have been used for more effective communication between school and family (Escueta et al., 2017 ). The European Commission ( 2020 ) presented data from a Eurostat survey regarding the use of computers by students during the pandemic. The data showed that younger pupils needed additional support and guidance from parents and the challenges were greater for families in which parents had lower levels of education and little to no digital skills.

In this regard, the socio-economic background of the learners and their socio-cultural environment also affect educational achievements (Punie et al., 2006 ). Trucano documented that the use of computers at home positively influenced students’ confidence and resulted in more frequent use at school, compared to students who had no home access (Trucano, 2005 ). In this sense, the socio-economic background affects the access to computers at home (OECD, 2015 ) which in turn influences the experience of ICT, an important factor for school achievement (Punie et al., 2006 ; Underwood, 2009 ). Furthermore, parents from different socio-economic backgrounds may have different abilities and availability to support their children in their learning process (Di Pietro et al., 2020 ).

3.5.7 Schools’ socioeconomic context and emergency situations

The socio-economic context of the school is closely related to a school’s digital transformation. For example, schools in disadvantaged, rural, or deprived areas are likely to lack the digital capacity and infrastructure required to adapt to the use of digital technologies during emergency periods, such as the COVID-19 pandemic (Di Pietro et al., 2020 ). Data collected from school principals confirmed that in several countries, there is a rural/urban divide in connectivity (OECD, 2015 ).

Emergency periods also affect the digitalization of schools. The COVID-19 pandemic led to the closure of schools and forced them to seek appropriate and connective ways to keep working on the curriculum (Di Pietro et al., 2020 ). The sudden large-scale shift to distance and online teaching and learning also presented challenges around quality and equity in education, such as the risk of increased inequalities in learning, digital, and social, as well as teachers facing difficulties coping with this demanding situation (European Commission, 2020 ).

Looking at the findings of the above studies, we can conclude that the impact of digital technologies on education is influenced by various actors and touches many aspects of the school ecosystem. Figure  1 summarizes the factors affecting the digital technologies’ impact on school stakeholders based on the findings from the literature review.

figure 1

Factors that affect the impact of ICTs on education

4 Discussion

The findings revealed that the use of digital technologies in education affects a variety of actors within a school’s ecosystem. First, we observed that as technologies evolve, so does the interest of the research community to apply them to school settings. Figure  2 summarizes the trends identified in current research around the impact of digital technologies on schools’ digital capacity and transformation as found in the present study. Starting as early as 2005, when computers, simulations, and interactive boards were the most commonly applied tools in school interventions (e.g., Eng, 2005 ; Liao et al., 2007 ; Moran et al., 2008 ; Tamim et al., 2011 ), moving towards the use of learning platforms (Jewitt et al., 2011 ), then to the use of mobile devices and digital games (e.g., Tamim et al., 2015 ; Sung et al., 2016 ; Talan et al., 2020 ), as well as e-books (e.g., Savva et al., 2022 ), to the more recent advanced technologies, such as AR and VR applications (e.g., Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ), or robotics and AI (e.g., Su & Yang, 2022 ; Su et al., 2022 ). As this evolution shows, digital technologies are a concept in flux with different affordances and characteristics. Additionally, from an instructional perspective, there has been a growing interest in different modes and models of content delivery such as online, blended, and hybrid modes (e.g., Cheok & Wong, 2015 ; Kazu & Yalçin, 2022 ; Ulum, 2022 ). This is an indication that the value of technologies to support teaching and learning as well as other school-related practices is increasingly recognized by the research and school community. The impact results from the literature review indicate that ICT integration on students’ learning outcomes has effects that are small (Coban et al., 2022 ; Eng, 2005 ; Higgins et al., 2012 ; Schmid et al., 2014 ; Tamim et al., 2015 ; Zheng et al., 2016 ) to moderate (Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Liao et al., 2007 ; Sung et al., 2016 ; Talan et al., 2020 ; Wen & Walters, 2022 ). That said, a number of recent studies have reported high effect sizes (e.g., Kazu & Yalçin, 2022 ).

figure 2

Current work and trends in the study of the impact of digital technologies on schools’ digital capacity

Based on these findings, several authors have suggested that the impact of technology on education depends on several variables and not on the technology per se (Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Lei et al., 2022a ). While the impact of ICTs on student achievement has been thoroughly investigated by researchers, other aspects related to school life that are also affected by ICTs, such as equality, inclusion, and social integration have received less attention. Further analysis of the literature review has revealed a greater investment in ICT interventions to support learning and teaching in the core subjects of literacy and STEM disciplines, especially mathematics, and science. These were the most common subjects studied in the reviewed papers often drawing on national testing results, while studies that investigated other subject areas, such as social studies, were limited (Chauhan, 2017 ; Condie & Munro, 2007 ). As such, research is still lacking impact studies that focus on the effects of ICTs on a range of curriculum subjects.

The qualitative research provided additional information about the impact of digital technologies on education, documenting positive effects and giving more details about implications, recommendations, and future research directions. Specifically, the findings regarding the role of ICTs in supporting learning highlight the importance of teachers’ instructional practice and the learning context in the use of technologies and consequently their impact on instruction (Çelik, 2022 ; Schmid et al., 2014 ; Tamim et al., 2015 ). The review also provided useful insights regarding the various factors that affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the transformation process. Specifically, these factors include a) digital competencies; b) teachers’ personal characteristics and professional development; c) school leadership and management; d) connectivity, infrastructure, and government support; e) administration and data management practices; f) students’ socio-economic background and family support and g) the socioeconomic context of the school and emergency situations. It is worth noting that we observed factors that affect the integration of ICTs in education but may also be affected by it. For example, the frequent use of ICTs and the use of laptops by students for instructional purposes positively affect the development of digital competencies (Zheng et al., 2016 ) and at the same time, the digital competencies affect the use of ICTs (Fu, 2013 ; Higgins et al., 2012 ). As a result, the impact of digital technologies should be explored more as an enabler of desirable and new practices and not merely as a catalyst that improves the output of the education process i.e. namely student attainment.

5 Conclusions

Digital technologies offer immense potential for fundamental improvement in schools. However, investment in ICT infrastructure and professional development to improve school education are yet to provide fruitful results. Digital transformation is a complex process that requires large-scale transformative changes that presuppose digital capacity and preparedness. To achieve such changes, all actors within the school’s ecosystem need to share a common vision regarding the integration of ICTs in education and work towards achieving this goal. Our literature review, which synthesized quantitative and qualitative data from a list of meta-analyses and review studies, provided useful insights into the impact of ICTs on different school stakeholders and showed that the impact of digital technologies touches upon many different aspects of school life, which are often overlooked when the focus is on student achievement as the final output of education. Furthermore, the concept of digital technologies is a concept in flux as technologies are not only different among them calling for different uses in the educational practice but they also change through time. Additionally, we opened a forum for discussion regarding the factors that affect a school’s digital capacity and transformation. We hope that our study will inform policy, practice, and research and result in a paradigm shift towards more holistic approaches in impact and assessment studies.

6 Study limitations and future directions

We presented a review of the study of digital technologies' impact on education and factors influencing schools’ digital capacity and transformation. The study results were based on a non-systematic literature review grounded on the acquisition of documentation in specific databases. Future studies should investigate more databases to corroborate and enhance our results. Moreover, search queries could be enhanced with key terms that could provide additional insights about the integration of ICTs in education, such as “policies and strategies for ICT integration in education”. Also, the study drew information from meta-analyses and literature reviews to acquire evidence about the effects of ICT integration in schools. Such evidence was mostly based on the general conclusions of the studies. It is worth mentioning that, we located individual studies which showed different, such as negative or neutral results. Thus, further insights are needed about the impact of ICTs on education and the factors influencing the impact. Furthermore, the nature of the studies included in meta-analyses and reviews is different as they are based on different research methodologies and data gathering processes. For instance, in a meta-analysis, the impact among the studies investigated is measured in a particular way, depending on policy or research targets (e.g., results from national examinations, pre-/post-tests). Meanwhile, in literature reviews, qualitative studies offer additional insights and detail based on self-reports and research opinions on several different aspects and stakeholders who could affect and be affected by ICT integration. As a result, it was challenging to draw causal relationships between so many interrelating variables.

Despite the challenges mentioned above, this study envisaged examining school units as ecosystems that consist of several actors by bringing together several variables from different research epistemologies to provide an understanding of the integration of ICTs. However, the use of other tools and methodologies and models for evaluation of the impact of digital technologies on education could give more detailed data and more accurate results. For instance, self-reflection tools, like SELFIE—developed on the DigCompOrg framework- (Kampylis et al., 2015 ; Bocconi & Lightfoot, 2021 ) can help capture a school’s digital capacity and better assess the impact of ICTs on education. Furthermore, the development of a theory of change could be a good approach for documenting the impact of digital technologies on education. Specifically, theories of change are models used for the evaluation of interventions and their impact; they are developed to describe how interventions will work and give the desired outcomes (Mayne, 2015 ). Theory of change as a methodological approach has also been used by researchers to develop models for evaluation in the field of education (e.g., Aromatario et al., 2019 ; Chapman & Sammons, 2013 ; De Silva et al., 2014 ).

We also propose that future studies aim at similar investigations by applying more holistic approaches for impact assessment that can provide in-depth data about the impact of digital technologies on education. For instance, future studies could focus on different research questions about the technologies that are used during the interventions or the way the implementation takes place (e.g., What methodologies are used for documenting impact? How are experimental studies implemented? How can teachers be taken into account and trained on the technology and its functions? What are the elements of an appropriate and successful implementation? How is the whole intervention designed? On which learning theories is the technology implementation based?).

Future research could also focus on assessing the impact of digital technologies on various other subjects since there is a scarcity of research related to particular subjects, such as geography, history, arts, music, and design and technology. More research should also be done about the impact of ICTs on skills, emotions, and attitudes, and on equality, inclusion, social interaction, and special needs education. There is also a need for more research about the impact of ICTs on administration, management, digitalization, and home-school relationships. Additionally, although new forms of teaching and learning with the use of ICTs (e.g., blended, hybrid, and online learning) have initiated several investigations in mainstream classrooms, only a few studies have measured their impact on students’ learning. Additionally, our review did not document any study about the impact of flipped classrooms on K-12 education. Regarding teaching and learning approaches, it is worth noting that studies referred to STEM or STEAM did not investigate the impact of STEM/STEAM as an interdisciplinary approach to learning but only investigated the impact of ICTs on learning in each domain as a separate subject (science, technology, engineering, arts, mathematics). Hence, we propose future research to also investigate the impact of the STEM/STEAM approach on education. The impact of emerging technologies on education, such as AR, VR, robotics, and AI has also been investigated recently, but more work needs to be done.

Finally, we propose that future studies could focus on the way in which specific factors, e.g., infrastructure and government support, school leadership and management, students’ and teachers’ digital competencies, approaches teachers utilize in the teaching and learning (e.g., blended, online and hybrid learning, flipped classrooms, STEM/STEAM approach, project-based learning, inquiry-based learning), affect the impact of digital technologies on education. We hope that future studies will give detailed insights into the concept of schools’ digital transformation through further investigation of impacts and factors which influence digital capacity and transformation based on the results and the recommendations of the present study.

Data availability statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Archer, K., Savage, R., Sanghera-Sidhu, S., Wood, E., Gottardo, A., & Chen, V. (2014). Examining the effectiveness of technology use in classrooms: A tertiary meta-analysis. Computers & Education, 78 , 140–149. https://doi.org/10.1016/j.compedu.2014.06.001

Article   Google Scholar  

Aromatario, O., Van Hoye, A., Vuillemin, A., Foucaut, A. M., Pommier, J., & Cambon, L. (2019). Using theory of change to develop an intervention theory for designing and evaluating behavior change SDApps for healthy eating and physical exercise: The OCAPREV theory. BMC Public Health, 19 (1), 1–12. https://doi.org/10.1186/s12889-019-7828-4

Arztmann, M., Hornstra, L., Jeuring, J., & Kester, L. (2022). Effects of games in STEM education: A meta-analysis on the moderating role of student background characteristics. Studies in Science Education , 1-37. https://doi.org/10.1080/03057267.2022.2057732

Bado, N. (2022). Game-based learning pedagogy: A review of the literature. Interactive Learning Environments, 30 (5), 936–948. https://doi.org/10.1080/10494820.2019.1683587

Balanskat, A. (2009). Study of the impact of technology in primary schools – Synthesis Report. Empirica and European Schoolnet. Retrieved 30 June 2022 from: https://erte.dge.mec.pt/sites/default/files/Recursos/Estudos/synthesis_report_steps_en.pdf

Balanskat, A. (2006). The ICT Impact Report: A review of studies of ICT impact on schools in Europe, European Schoolnet. Retrieved 30 June 2022 from:  https://en.unesco.org/icted/content/ict-impact-report-review-studies-ict-impact-schools-europe

Balanskat, A., Blamire, R., & Kefala, S. (2006). The ICT impact report.  European Schoolnet . Retrieved from: http://colccti.colfinder.org/sites/default/files/ict_impact_report_0.pdf

Balyer, A., & Öz, Ö. (2018). Academicians’ views on digital transformation in education. International Online Journal of Education and Teaching (IOJET), 5 (4), 809–830. Retrieved 30 June 2022 from  http://iojet.org/index.php/IOJET/article/view/441/295

Baragash, R. S., Al-Samarraie, H., Moody, L., & Zaqout, F. (2022). Augmented reality and functional skills acquisition among individuals with special needs: A meta-analysis of group design studies. Journal of Special Education Technology, 37 (1), 74–81. https://doi.org/10.1177/0162643420910413

Bates, A. W. (2015). Teaching in a digital age: Guidelines for designing teaching and learning . Open Educational Resources Collection . 6. Retrieved 30 June 2022 from: https://irl.umsl.edu/oer/6

Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Eurasia Journal of Mathematics, Science and Technology Education, 5 (3), 235–245. https://doi.org/10.12973/ejmste/75275

Blaskó, Z., Costa, P. D., & Schnepf, S. V. (2022). Learning losses and educational inequalities in Europe: Mapping the potential consequences of the COVID-19 crisis. Journal of European Social Policy, 32 (4), 361–375. https://doi.org/10.1177/09589287221091687

Bocconi, S., & Lightfoot, M. (2021). Scaling up and integrating the selfie tool for schools’ digital capacity in education and training systems: Methodology and lessons learnt. European Training Foundation . https://doi.org/10.2816/907029,JRC123936 . Accessed 30 June 2022.

Brooks, D. C., & McCormack, M. (2020). Driving Digital Transformation in Higher Education . Retrieved 30 June 2022 from: https://library.educause.edu/-/media/files/library/2020/6/dx2020.pdf?la=en&hash=28FB8C377B59AFB1855C225BBA8E3CFBB0A271DA

Cachia, R., Chaudron, S., Di Gioia, R., Velicu, A., & Vuorikari, R. (2021). Emergency remote schooling during COVID-19, a closer look at European families. Retrieved 30 June 2022 from  https://publications.jrc.ec.europa.eu/repository/handle/JRC125787

Çelik, B. (2022). The effects of computer simulations on students’ science process skills: Literature review. Canadian Journal of Educational and Social Studies, 2 (1), 16–28. https://doi.org/10.53103/cjess.v2i1.17

Chapman, C., & Sammons, P. (2013). School Self-Evaluation for School Improvement: What Works and Why? . CfBT Education Trust. 60 Queens Road, Reading, RG1 4BS, England.

Chauhan, S. (2017). A meta-analysis of the impact of technology on learning effectiveness of elementary students. Computers & Education, 105 , 14–30. https://doi.org/10.1016/j.compedu.2016.11.005

Chen, Q., Chan, K. L., Guo, S., Chen, M., Lo, C. K. M., & Ip, P. (2022a). Effectiveness of digital health interventions in reducing bullying and cyberbullying: a meta-analysis. Trauma, Violence, & Abuse , 15248380221082090. https://doi.org/10.1177/15248380221082090

Chen, B., Wang, Y., & Wang, L. (2022b). The effects of virtual reality-assisted language learning: A meta-analysis. Sustainability, 14 (6), 3147. https://doi.org/10.3390/su14063147

Cheok, M. L., & Wong, S. L. (2015). Predictors of e-learning satisfaction in teaching and learning for school teachers: A literature review. International Journal of Instruction, 8 (1), 75–90.

Cheung, A. C., & Slavin, R. E. (2011). The Effectiveness of Education Technology for Enhancing Reading Achievement: A Meta-Analysis. Center for Research and reform in Education .

Coban, M., Bolat, Y. I., & Goksu, I. (2022). The potential of immersive virtual reality to enhance learning: A meta-analysis. Educational Research Review , 100452. https://doi.org/10.1016/j.edurev.2022.100452

Condie, R., & Munro, R. K. (2007). The impact of ICT in schools-a landscape review. Retrieved 30 June 2022 from: https://oei.org.ar/ibertic/evaluacion/sites/default/files/biblioteca/33_impact_ict_in_schools.pdf

Conrads, J., Rasmussen, M., Winters, N., Geniet, A., Langer, L., (2017). Digital Education Policies in Europe and Beyond: Key Design Principles for More Effective Policies. Redecker, C., P. Kampylis, M. Bacigalupo, Y. Punie (ed.), EUR 29000 EN, Publications Office of the European Union, Luxembourg, https://doi.org/10.2760/462941

Costa, P., Castaño-Muñoz, J., & Kampylis, P. (2021). Capturing schools’ digital capacity: Psychometric analyses of the SELFIE self-reflection tool. Computers & Education, 162 , 104080. https://doi.org/10.1016/j.compedu.2020.104080

Cussó-Calabuig, R., Farran, X. C., & Bosch-Capblanch, X. (2018). Effects of intensive use of computers in secondary school on gender differences in attitudes towards ICT: A systematic review. Education and Information Technologies, 23 (5), 2111–2139. https://doi.org/10.1007/s10639-018-9706-6

Daniel, S. J. (2020). Education and the COVID-19 pandemic. Prospects, 49 (1), 91–96.

Delcker, J., & Ifenthaler, D. (2021). Teachers’ perspective on school development at German vocational schools during the Covid-19 pandemic. Technology, Pedagogy and Education, 30 (1), 125–139. https://doi.org/10.1080/1475939X.2020.1857826 . Accessed 30 June 2022.

Delgado, A., Wardlow, L., O’Malley, K., & McKnight, K. (2015). Educational technology: A review of the integration, resources, and effectiveness of technology in K-12 classrooms. Journal of Information Technology Education Research , 14, 397. Retrieved 30 June 2022 from  http://www.jite.org/documents/Vol14/JITEv14ResearchP397-416Delgado1829.pdf

De Silva, M. J., Breuer, E., Lee, L., Asher, L., Chowdhary, N., Lund, C., & Patel, V. (2014). Theory of change: A theory-driven approach to enhance the Medical Research Council’s framework for complex interventions. Trials, 15 (1), 1–13. https://doi.org/10.1186/1745-6215-15-267

Di Pietro, G., Biagi, F., Costa, P., Karpiński, Z., & Mazza, J. (2020). The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets (Vol. 30275). Publications Office of the European Union.

Google Scholar  

Elkordy, A., & Lovinelli, J. (2020). Competencies, Culture, and Change: A Model for Digital Transformation in K12 Educational Contexts. In D. Ifenthaler, S. Hofhues, M. Egloffstein, & C. Helbig (Eds.), Digital Transformation of Learning Organizations (pp. 203–219). Springer.

Eng, T. S. (2005). The impact of ICT on learning: A review of research. International Education Journal, 6 (5), 635–650.

European Commission. (2020). Digital Education Action Plan 2021 – 2027. Resetting education and training for the digital age. Retrieved 30 June 2022 from  https://ec.europa.eu/education/sites/default/files/document-library-docs/deap-communication-sept2020_en.pdf

European Commission. (2019). 2 nd survey of schools: ICT in education. Objective 1: Benchmark progress in ICT in schools . Retrieved 30 June 2022 from: https://data.europa.eu/euodp/data/storage/f/2019-03-19T084831/FinalreportObjective1-BenchmarkprogressinICTinschools.pdf

Eurydice. (2019). Digital Education at School in Europe , Luxembourg: Publications Office of the European Union. Retrieved 30 June 2022 from: https://eacea.ec.europa.eu/national-policies/eurydice/content/digital-education-school-europe_en

Escueta, M., Quan, V., Nickow, A. J., & Oreopoulos, P. (2017). Education technology: An evidence-based review. Retrieved 30 June 2022 from  https://ssrn.com/abstract=3031695

Fadda, D., Pellegrini, M., Vivanet, G., & Zandonella Callegher, C. (2022). Effects of digital games on student motivation in mathematics: A meta-analysis in K-12. Journal of Computer Assisted Learning, 38 (1), 304–325. https://doi.org/10.1111/jcal.12618

Fernández-Gutiérrez, M., Gimenez, G., & Calero, J. (2020). Is the use of ICT in education leading to higher student outcomes? Analysis from the Spanish Autonomous Communities. Computers & Education, 157 , 103969. https://doi.org/10.1016/j.compedu.2020.103969 . Accessed 30 June 2022.

Ferrari, A., Cachia, R., & Punie, Y. (2011). Educational change through technology: A challenge for obligatory schooling in Europe. Lecture Notes in Computer Science , 6964 , 97–110. Retrieved 30 June 2022  https://link.springer.com/content/pdf/10.1007/978-3-642-23985-4.pdf

Fielding, K., & Murcia, K. (2022). Research linking digital technologies to young children’s creativity: An interpretive framework and systematic review. Issues in Educational Research , 32 (1), 105–125. Retrieved 30 June 2022 from  http://www.iier.org.au/iier32/fielding-abs.html

Friedel, H., Bos, B., Lee, K., & Smith, S. (2013). The impact of mobile handheld digital devices on student learning: A literature review with meta-analysis. In Society for Information Technology & Teacher Education International Conference (pp. 3708–3717). Association for the Advancement of Computing in Education (AACE).

Fu, J. S. (2013). ICT in education: A critical literature review and its implications. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 9 (1), 112–125.

Gaol, F. L., & Prasolova-Førland, E. (2022). Special section editorial: The frontiers of augmented and mixed reality in all levels of education. Education and Information Technologies, 27 (1), 611–623.

Garzón, J., & Acevedo, J. (2019). Meta-analysis of the impact of Augmented Reality on students’ learning gains. Educational Research Review, 27 , 244–260. https://doi.org/10.1016/j.edurev.2019.04.001

Garzón, J., Baldiris, S., Gutiérrez, J., & Pavón, J. (2020). How do pedagogical approaches affect the impact of augmented reality on education? A meta-analysis and research synthesis. Educational Research Review , 100334. https://doi.org/10.1016/j.edurev.2020.100334

Grgurović, M., Chapelle, C. A., & Shelley, M. C. (2013). A meta-analysis of effectiveness studies on computer technology-supported language learning. ReCALL, 25 (2), 165–198. https://doi.org/10.1017/S0958344013000013

Haßler, B., Major, L., & Hennessy, S. (2016). Tablet use in schools: A critical review of the evidence for learning outcomes. Journal of Computer Assisted Learning, 32 (2), 139–156. https://doi.org/10.1111/jcal.12123

Haleem, A., Javaid, M., Qadri, M. A., & Suman, R. (2022). Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers, 3 , 275–285.

Hardman, J. (2019). Towards a pedagogical model of teaching with ICTs for mathematics attainment in primary school: A review of studies 2008–2018. Heliyon, 5 (5), e01726. https://doi.org/10.1016/j.heliyon.2019.e01726

Hattie, J., Rogers, H. J., & Swaminathan, H. (2014). The role of meta-analysis in educational research. In A. D. Reid, P. Hart, & M. A. Peters (Eds.), A companion to research in education (pp. 197–207). Springer.

Chapter   Google Scholar  

Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge . https://doi.org/10.4324/9780203887332

Higgins, S., Xiao, Z., & Katsipataki, M. (2012). The impact of digital technology on learning: A summary for the education endowment foundation . Education Endowment Foundation and Durham University.

Higgins, K., Huscroft-D’Angelo, J., & Crawford, L. (2019). Effects of technology in mathematics on achievement, motivation, and attitude: A meta-analysis. Journal of Educational Computing Research , 57(2), 283-319.

Hillmayr, D., Ziernwald, L., Reinhold, F., Hofer, S. I., & Reiss, K. M. (2020). The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education, 153 (1038), 97. https://doi.org/10.1016/j.compedu.2020.103897

Istenic Starcic, A., & Bagon, S. (2014). ICT-supported learning for inclusion of people with special needs: Review of seven educational technology journals, 1970–2011. British Journal of Educational Technology, 45 (2), 202–230. https://doi.org/10.1111/bjet.12086 . Accessed 30 June 2022.

Jewitt, C., Clark, W., & Hadjithoma-Garstka, C. (2011). The use of learning platforms to organise learning in English primary and secondary schools. Learning, Media and Technology, 36 (4), 335–348. https://doi.org/10.1080/17439884.2011.621955

JISC. (2020). What is digital transformation?.  Retrieved 30 June 2022 from: https://www.jisc.ac.uk/guides/digital-strategy-framework-for-university-leaders/what-is-digital-transformation

Kalati, A. T., & Kim, M. S. (2022). What is the effect of touchscreen technology on young children’s learning?: A systematic review. Education and Information Technologies , 1-19. https://doi.org/10.1007/s10639-021-10816-5

Kalemkuş, J., & Kalemkuş, F. (2022). Effect of the use of augmented reality applications on academic achievement of student in science education: Meta-analysis review. Interactive Learning Environments , 1-18. https://doi.org/10.1080/10494820.2022.2027458

Kao, C.-W. (2014). The effects of digital game-based learning task in English as a foreign language contexts: A meta-analysis. Education Journal, 42 (2), 113–141.

Kampylis, P., Punie, Y., & Devine, J. (2015). Promoting effective digital-age learning - a European framework for digitally competent educational organisations. JRC Technical Reports . https://doi.org/10.2791/54070

Kazu, I. Y., & Yalçin, C. K. (2022). Investigation of the effectiveness of hybrid learning on academic achievement: A meta-analysis study. International Journal of Progressive Education, 18 (1), 249–265. https://doi.org/10.29329/ijpe.2022.426.14

Koh, C. (2022). A qualitative meta-analysis on the use of serious games to support learners with intellectual and developmental disabilities: What we know, what we need to know and what we can do. International Journal of Disability, Development and Education, 69 (3), 919–950.

König, J., Jäger-Biela, D. J., & Glutsch, N. (2020). Adapting to online teaching during COVID-19 school closure: Teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education, 43 (4), 608–622. https://doi.org/10.1080/02619768.2020.1809650

Lawrence, J. E., & Tar, U. A. (2018). Factors that influence teachers’ adoption and integration of ICT in teaching/learning process. Educational Media International, 55 (1), 79–105. https://doi.org/10.1080/09523987.2018.1439712

Lee, S., Kuo, L. J., Xu, Z., & Hu, X. (2020). The effects of technology-integrated classroom instruction on K-12 English language learners’ literacy development: A meta-analysis. Computer Assisted Language Learning , 1-32. https://doi.org/10.1080/09588221.2020.1774612

Lei, H., Chiu, M. M., Wang, D., Wang, C., & Xie, T. (2022a). Effects of game-based learning on students’ achievement in science: a meta-analysis. Journal of Educational Computing Research . https://doi.org/10.1177/07356331211064543

Lei, H., Wang, C., Chiu, M. M., & Chen, S. (2022b). Do educational games affect students’ achievement emotions? Evidence from a meta-analysis. Journal of Computer Assisted Learning., 38 (4), 946–959. https://doi.org/10.1111/jcal.12664

Liao, Y. K. C., Chang, H. W., & Chen, Y. W. (2007). Effects of computer application on elementary school student’s achievement: A meta-analysis of students in Taiwan. Computers in the Schools, 24 (3–4), 43–64. https://doi.org/10.1300/J025v24n03_04

Li, Q., & Ma, X. (2010). A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educational Psychology Review, 22 (3), 215–243.

Liu, M., Pang, W., Guo, J., & Zhang, Y. (2022). A meta-analysis of the effect of multimedia technology on creative performance. Education and Information Technologies , 1-28. https://doi.org/10.1007/s10639-022-10981-1

Lu, Z., Chiu, M. M., Cui, Y., Mao, W., & Lei, H. (2022). Effects of game-based learning on students’ computational thinking: A meta-analysis. Journal of Educational Computing Research . https://doi.org/10.1177/07356331221100740

Martinez, L., Gimenes, M., & Lambert, E. (2022). Entertainment video games for academic learning: A systematic review. Journal of Educational Computing Research . https://doi.org/10.1177/07356331211053848

Mayne, J. (2015). Useful theory of change models. Canadian Journal of Program Evaluation, 30 (2), 119–142. https://doi.org/10.3138/cjpe.230

Moran, J., Ferdig, R. E., Pearson, P. D., Wardrop, J., & Blomeyer, R. L., Jr. (2008). Technology and reading performance in the middle-school grades: A meta-analysis with recommendations for policy and practice. Journal of Literacy Research, 40 (1), 6–58. https://doi.org/10.1080/10862960802070483

OECD. (2015). Students, Computers and Learning: Making the Connection . PISA, OECD Publishing, Paris. Retrieved from: https://doi.org/10.1787/9789264239555-en

OECD. (2021). OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots. Retrieved from: https://www.oecd-ilibrary.org/education/oecd-digital-education-outlook-2021_589b283f-en

Pan, Y., Ke, F., & Xu, X. (2022). A systematic review of the role of learning games in fostering mathematics education in K-12 settings. Educational Research Review, 36 , 100448. https://doi.org/10.1016/j.edurev.2022.100448

Pettersson, F. (2021). Understanding digitalization and educational change in school by means of activity theory and the levels of learning concept. Education and Information Technologies, 26 (1), 187–204.

Pihir, I., Tomičić-Pupek, K., & Furjan, M. T. (2018). Digital transformation insights and trends. In Central European Conference on Information and Intelligent Systems (pp. 141–149). Faculty of Organization and Informatics Varazdin. Retrieved 30 June 2022 from https://www.proquest.com/conference-papers-proceedings/digital-transformation-insights-trends/docview/2125639934/se-2

Punie, Y., Zinnbauer, D., & Cabrera, M. (2006). A review of the impact of ICT on learning. Working Paper prepared for DG EAC. Retrieved 30 June 2022 from: http://www.eurosfaire.prd.fr/7pc/doc/1224678677_jrc47246n.pdf

Quah, C. Y., & Ng, K. H. (2022). A systematic literature review on digital storytelling authoring tool in education: January 2010 to January 2020. International Journal of Human-Computer Interaction, 38 (9), 851–867. https://doi.org/10.1080/10447318.2021.1972608

Ran, H., Kim, N. J., & Secada, W. G. (2022). A meta-analysis on the effects of technology’s functions and roles on students’ mathematics achievement in K-12 classrooms. Journal of computer assisted learning, 38 (1), 258–284. https://doi.org/10.1111/jcal.12611

Ređep, N. B. (2021). Comparative overview of the digital preparedness of education systems in selected CEE countries. Center for Policy Studies. CEU Democracy Institute .

Rott, B., & Marouane, C. (2018). Digitalization in schools–organization, collaboration and communication. In Digital Marketplaces Unleashed (pp. 113–124). Springer, Berlin, Heidelberg.

Savva, M., Higgins, S., & Beckmann, N. (2022). Meta-analysis examining the effects of electronic storybooks on language and literacy outcomes for children in grades Pre-K to grade 2. Journal of Computer Assisted Learning, 38 (2), 526–564. https://doi.org/10.1111/jcal.12623

Schmid, R. F., Bernard, R. M., Borokhovski, E., Tamim, R. M., Abrami, P. C., Surkes, M. A., Wade, C. A., & Woods, J. (2014). The effects of technology use in postsecondary education: A meta-analysis of classroom applications. Computers & Education, 72 , 271–291. https://doi.org/10.1016/j.compedu.2013.11.002

Schuele, C. M., & Justice, L. M. (2006). The importance of effect sizes in the interpretation of research: Primer on research: Part 3. The ASHA Leader, 11 (10), 14–27. https://doi.org/10.1044/leader.FTR4.11102006.14

Schwabe, A., Lind, F., Kosch, L., & Boomgaarden, H. G. (2022). No negative effects of reading on screen on comprehension of narrative texts compared to print: A meta-analysis. Media Psychology , 1-18. https://doi.org/10.1080/15213269.2022.2070216

Sellar, S. (2015). Data infrastructure: a review of expanding accountability systems and large-scale assessments in education. Discourse: Studies in the Cultural Politics of Education, 36 (5), 765–777. https://doi.org/10.1080/01596306.2014.931117

Stock, W. A. (1994). Systematic coding for research synthesis. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis, 236 (pp. 125–138). Russel Sage.

Su, J., Zhong, Y., & Ng, D. T. K. (2022). A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education: Artificial Intelligence , 100065. https://doi.org/10.1016/j.caeai.2022.100065

Su, J., & Yang, W. (2022). Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence, 3 , 100049. https://doi.org/10.1016/j.caeai.2022.100049

Sung, Y. T., Chang, K. E., & Liu, T. C. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94 , 252–275. https://doi.org/10.1016/j.compedu.2015.11.008

Talan, T., Doğan, Y., & Batdı, V. (2020). Efficiency of digital and non-digital educational games: A comparative meta-analysis and a meta-thematic analysis. Journal of Research on Technology in Education, 52 (4), 474–514. https://doi.org/10.1080/15391523.2020.1743798

Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational research, 81 (1), 4–28. Retrieved 30 June 2022 from  https://doi.org/10.3102/0034654310393361

Tamim, R. M., Borokhovski, E., Pickup, D., Bernard, R. M., & El Saadi, L. (2015). Tablets for teaching and learning: A systematic review and meta-analysis. Commonwealth of Learning. Retrieved from: http://oasis.col.org/bitstream/handle/11599/1012/2015_Tamim-et-al_Tablets-for-Teaching-and-Learning.pdf

Tang, C., Mao, S., Xing, Z., & Naumann, S. (2022). Improving student creativity through digital technology products: A literature review. Thinking Skills and Creativity, 44 , 101032. https://doi.org/10.1016/j.tsc.2022.101032

Tolani-Brown, N., McCormac, M., & Zimmermann, R. (2011). An analysis of the research and impact of ICT in education in developing country contexts. In ICTs and sustainable solutions for the digital divide: Theory and perspectives (pp. 218–242). IGI Global.

Trucano, M. (2005). Knowledge Maps: ICTs in Education. Washington, DC: info Dev / World Bank. Retrieved 30 June 2022 from  https://files.eric.ed.gov/fulltext/ED496513.pdf

Ulum, H. (2022). The effects of online education on academic success: A meta-analysis study. Education and Information Technologies, 27 (1), 429–450.

Underwood, J. D. (2009). The impact of digital technology: A review of the evidence of the impact of digital technologies on formal education. Retrieved 30 June 2022 from: http://dera.ioe.ac.uk/id/eprint/10491

Verschaffel, L., Depaepe, F., & Mevarech, Z. (2019). Learning Mathematics in metacognitively oriented ICT-Based learning environments: A systematic review of the literature. Education Research International , 2019 . https://doi.org/10.1155/2019/3402035

Villena-Taranilla, R., Tirado-Olivares, S., Cózar-Gutiérrez, R., & González-Calero, J. A. (2022). Effects of virtual reality on learning outcomes in K-6 education: A meta-analysis. Educational Research Review, 35 , 100434. https://doi.org/10.1016/j.edurev.2022.100434

Voogt, J., Knezek, G., Cox, M., Knezek, D., & ten Brummelhuis, A. (2013). Under which conditions does ICT have a positive effect on teaching and learning? A call to action. Journal of Computer Assisted Learning, 29 (1), 4–14. https://doi.org/10.1111/j.1365-2729.2011.00453.x

Vuorikari, R., Punie, Y., & Cabrera, M. (2020). Emerging technologies and the teaching profession: Ethical and pedagogical considerations based on near-future scenarios  (No. JRC120183). Joint Research Centre. Retrieved 30 June 2022 from: https://publications.jrc.ec.europa.eu/repository/handle/JRC120183

Wang, L. H., Chen, B., Hwang, G. J., Guan, J. Q., & Wang, Y. Q. (2022). Effects of digital game-based STEM education on students’ learning achievement: A meta-analysis. International Journal of STEM Education, 9 (1), 1–13. https://doi.org/10.1186/s40594-022-00344-0

Wen, X., & Walters, S. M. (2022). The impact of technology on students’ writing performances in elementary classrooms: A meta-analysis. Computers and Education Open, 3 , 100082. https://doi.org/10.1016/j.caeo.2022.100082

Zheng, B., Warschauer, M., Lin, C. H., & Chang, C. (2016). Learning in one-to-one laptop environments: A meta-analysis and research synthesis. Review of Educational Research, 86 (4), 1052–1084. https://doi.org/10.3102/0034654316628645

Download references

Acknowledgements

This project has received funding under Grant Agreement No Ref Ares (2021) 339036 7483039 as well as funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy. The UVa co-authors would like also to acknowledge funding from the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science and Innovation, under project grant PID2020-112584RB-C32.

Author information

Authors and affiliations.

CYENS Center of Excellence & Cyprus University of Technology (Cyprus Interaction Lab), Cyprus, CYENS Center of Excellence & Cyprus University of Technology, Nicosia-Limassol, Cyprus

Stella Timotheou, Ourania Miliou & Andri Ioannou

Universidad de Valladolid (UVA), Spain, Valladolid, Spain

Yiannis Dimitriadis, Sara Villagrá Sobrino, Nikoleta Giannoutsou & Alejandra Martínez Monés

JRC - Joint Research Centre of the European Commission, Seville, Spain

Romina Cachia

You can also search for this author in PubMed   Google Scholar

Corresponding author

Correspondence to Andri Ioannou .

Ethics declarations

Conflict of interest, additional information, publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Timotheou, S., Miliou, O., Dimitriadis, Y. et al. Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review. Educ Inf Technol 28 , 6695–6726 (2023). https://doi.org/10.1007/s10639-022-11431-8

Download citation

Received : 04 May 2022

Accepted : 27 October 2022

Published : 21 November 2022

Issue Date : June 2023

DOI : https://doi.org/10.1007/s10639-022-11431-8

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Digital technologies
  • Digital capacity
  • Digital transformation
  • Find a journal
  • Publish with us
  • Track your research

Digital Technology in Modern Society Essay

Introduction, digital technology analysis, works cited.

Technology has definitely become an important aspect of our daily lives. Whether directly or indirectly, people interact with technology on their daily basis and get affected differently. The manner in which individuals get affected further varies from one person to the other.

This essay focuses on the impact of digital technology on our culture with special emphasis on how youths have been affected by various aspects of digital technology. To achieve this objective, views from three authors have been considered through comparative analysis. These authors are: Charles McGrath, Lakshmi Chaundhry and Will Wright.

In his article, The Pleasures of the text , McGrath analyzes how digital technology has affected the manner in which young people communicate especially using mobile phones. With affordability of mobile phones having risen, messaging has gained preference among young people. He notes that the language of text messaging encompasses a wide range of elements like shorthand contractions, emoticons, acronyms and letter-number homophones (McGrath 1).

He argues that this preference is based on the limited number of characters that a text message can accommodate and the less versatility nature of cell phone screens. He says “But because the typical cell phone screen can accommodate no more than 160 characters, and because the cell phone touchpad is far less versatile than the computer keyboard, text-messaging puts an even greater premium on concision” (McGrath 1).

Because of the emerging texting trends, books have been written for acronyms like CWOT (complete waste of time) (McGrath 1). He further notes that text-messaging has mimicked hip hop so much that most commonly used characteristics are used by hip hoppers say, “a” for “er”. As a result, this form of texting that is common among young people is “lateral” and encourages mindlessness among users.

It is a rude way of expressions especially in Britain where relationships are terminated using such messages. He further affirms that excessive use of this messaging style is common in developing countries where messages are more affordable than voice calls. This has also been promoted by culture like in China where voice messages symbolize rudeness among users (McGrath 1).

On the other hand, Chaundhry argues that technology has created a new era of celebrities as people have endless opportunities to celebrate their heroes online. In his article, Mirror, Mirror on the Web , he notes that becoming a celebrity is no longer an honor in the digital world and that ordinary citizens have significantly grabbed these opportunities.

With the existence of mammoth technological ideas, the world is likely to change in several ways. He refers to this as progressive fantasy which is interlaced with collaboration, change and community (Chaundhry 1).

Furthermore, Web 2.0 allows people to be worshipped, admired and idolized as majority of people derive pleasure in being considered as heroes and heroines. This notion has promoted self-promotion in the digital society as individuals aim at establishing personal fame on the web through countless links and accounts with different social websites. Unlike previous generations when celebs commanded honor and respect for their achievements, digital technology has eliminated the honor of being a celeb.

Due to the public hunger for fame, the media always introduces programs that allow individuals to woo the public as their celebs. Additionally, Chaundhry argues that digital technology has reduced fame to public attention and separated it from the traditional achievements and wealth. As a result, fame has become a commodity that is only acquired through media publicity.

This has its core roots in the young generation that some consider being famous as the definition of American dream. According to Chaundhry, “Since a key component of narcissism is the need to be admired and to be the center of attention, Generation Me’s attraction to fame is inevitable.”You teach kids they’re special” (1).

It therefore suffices to mention that digital technology has promoted the desire for self-promotion and the need to seek public approval. As such, the cultural approach of becoming famous has been replaced with virtual personas among the youths. This obsession augmented by digital technology negates the need for achievement and success that traditionally characterized celebs.

With regard to digital technology and its impact on our culture, Will Wright discusses how computer imaging and videogames have tremendously affected young people in the current generation.

Unlike other forms of games, Wright notes that computer games are played through trial and error method as players rarely go through the manual in order to master rules and directions. However, he reiterates that videogames make young people to believe that the world is a place for creation and not consumption as perceived in olden days of structured learning.

This can therefore be regarded as the impact of videogames on our culture even as we embrace digital technology. In his article, Dream Machines, Wright views videogames from a two-dimensional point of view as he describes the impact of this technology in the society. The negative side of videogames emphasizes the fact that these games are violent and affect the personality of young people who play them (Wright 1).

Children who continuously play videogames usually end up becoming bullies at school or demonstrate some level of violence in their daily interactions. Additionally, videogames are addictive and time wasters. Many young people have replaced healthy and constructive leisure activities like excising with endless videogames which end up eating their time and rendering them into sedentary lifestyles.

As stated by Wright, “Games have the potential to subsume almost all other forms of entertainment media. They can tell us stories, offer us music, give us challenges, allow us to communicate and interact with others, encourage us to make things, connect us to new communities, and let us play” (1).

In other words, they can offer almost everything that a young person would look for in terms of music, tell stories and allow connection and communication among players. With the evolution of technology, videogames are likely to allow development of models to mimic what we like and do (Wright 1).

From the above analysis, it is more evident that digital technology has a wide range of effects to our culture and to the young generation. Chaundhry and McGrath agree with Wright that digital technology has negatively affected our culture. According to the three, this technology affects youths positively and negatively. McGrath discusses how message texting has changed by use of shorthand contractions, emoticons and acronyms.

Similarly, Chaundhry concurs that social networks like YouTube have promoted self-promotion in the society and eliminated the role of achievements and success in defining ones fame. The same stance is taken by Wright who affirms that videogames have negatively affected youths by promoting violence, addiction and wastage of time.

Chaundhry, Lakshmi. “Mirror, Mirror on the Web.” The Nation . 2007. Web.

McGrath, Charles. “The Pleasures of the Text”. The New York Times . 2006. Web.

Wright, Will. “Dream Machines.” Wired. 2006. Web.

  • Chicago (A-D)
  • Chicago (N-B)

IvyPanda. (2019, November 10). Digital Technology in Modern Society. https://ivypanda.com/essays/digital-technology/

"Digital Technology in Modern Society." IvyPanda , 10 Nov. 2019, ivypanda.com/essays/digital-technology/.

IvyPanda . (2019) 'Digital Technology in Modern Society'. 10 November.

IvyPanda . 2019. "Digital Technology in Modern Society." November 10, 2019. https://ivypanda.com/essays/digital-technology/.

1. IvyPanda . "Digital Technology in Modern Society." November 10, 2019. https://ivypanda.com/essays/digital-technology/.

Bibliography

IvyPanda . "Digital Technology in Modern Society." November 10, 2019. https://ivypanda.com/essays/digital-technology/.

  • The Pace of Technology Adoption Is Speeding Up by McGrath
  • Videogames and Their Effects on Children
  • Impact of Videogames on Children
  • Adrian Petterson’s Speech on Videogames
  • Caregiving for Aboriginal Peoples
  • Self Promoting vs. Agency Marketing
  • Playing Videogames vs Crocheting and Blogging
  • When Gaming Is Good for You?
  • Psychological Experiments on Videogames and Theater
  • Madonna's Sustainable Success
  • History of the Telephone and Telegraph in the Europe
  • Wireless Technologies
  • How to Use an Automatic Gas Cooker
  • Computer and Telecommunication Technologies in the Worlds’ Economy
  • Automated Teller Machine's Manual and Usage

Davos 2023: Eight ways technology will impact our lives in the future

impact of digital technology on society essay

The next generation will live a very different life to us, thanks to technology. Image:  Pexels/ThisIsEngineering

.chakra .wef-1c7l3mo{-webkit-transition:all 0.15s ease-out;transition:all 0.15s ease-out;cursor:pointer;-webkit-text-decoration:none;text-decoration:none;outline:none;color:inherit;}.chakra .wef-1c7l3mo:hover,.chakra .wef-1c7l3mo[data-hover]{-webkit-text-decoration:underline;text-decoration:underline;}.chakra .wef-1c7l3mo:focus,.chakra .wef-1c7l3mo[data-focus]{box-shadow:0 0 0 3px rgba(168,203,251,0.5);} Julie Masiga

Natalie marchant.

A hand holding a looking glass by a lake

.chakra .wef-1nk5u5d{margin-top:16px;margin-bottom:16px;line-height:1.388;color:#2846F8;font-size:1.25rem;}@media screen and (min-width:56.5rem){.chakra .wef-1nk5u5d{font-size:1.125rem;}} Get involved .chakra .wef-9dduvl{margin-top:16px;margin-bottom:16px;line-height:1.388;font-size:1.25rem;}@media screen and (min-width:56.5rem){.chakra .wef-9dduvl{font-size:1.125rem;}} with our crowdsourced digital platform to deliver impact at scale

Stay up to date:, davos agenda.

Listen to the article

  • Technology will be a vital tool for creating a cleaner, safer and more inclusive world, but what changes can we expect to see?
  • Panelists on the Technology for a More Resilient World session at Davos discussed future trends and developments in tech.
  • Be it the metaverse, smart glasses or large language models, the world as we know it may never be quite as we first imagined it.

Technology can be an important tool in the transition to a cleaner, safer and more inclusive world. But what strategic opportunities are there for technology to be an accelerator of progress and how is it likely to affect the next generation?

Leaders gathered on day two of Davos to talk about how technology and platforms will change the world, what tech trends and developments we’re likely to see, and even provide a glimpse into what our grandchildren can expect in future.

The Technology for a More Resilient World session featured Nicholas Thompson, CEO, The Atlantic; Sunil Bharti Mittal, Chairman, Bharti Enterprises; Arvind Krishna, Chairman and CEO, IBM Corporation; Julie Sweet, Chair and CEO, Accenture; and Cristiano Amon, President and CEO, Qualcomm Incorporated.

Here’s a selection of what they had to say:

1. Technology is boosting productivity

Businesses are increasingly looking to digitally transform their operations amid an incredible demand for things to be more intelligent and connected, says Cristiano Amon , President and CEO of Qualcomm Incorporated. “I think technology right now, probably more than ever – especially when we talk about the current economic environment – we see that there is this desire of companies to digitally transform and use technology to become more efficient and more productive,” he said.

2. Glasses will overtake mobile phones

The future of computing will become virtual as computing platforms continue to evolve – just as it evolved from personal computers to mobile phones, says Amon . What we now know as the video call, particularly post-COVID, will soon become a holographic image in front of you seen through smart glasses.

The Technology for a More Resilient World session at Davos 2023.

“The technology trend is the merging of physical and digital spaces. I think that’s going to be the next computing platform and eventually, it’s going to be as big as phones. We should think about that happening within the decade,” he adds.

Have you read?

How to follow davos 2023, we are closing the gap between technology and policy, 3. the rise of quantum computing.

Quantum computing won’t replace classical computing but it will begin to solve problems in the physical world - materials, chemistry, encryption and optimization problems - within a few years, according to Arvind Krishna , Chairman and CEO, IBM Corporation. Indeed, quantum computing is already so good you may want to think about it now. “I would strongly urge everybody to invest in quantum-proof decryption now for any data, that you really, really care about,” he advises.

4. 5G will create lots more use cases

5G will create a lot of new use cases including drone management, robotic surgery and autonomous vehicles, says Sunil Bharti Mittal , Chairman, Bharti Enterprises. Industrial applications will particularly benefit due to their larger capacity. “In the meanwhile, people will get used to better connections, higher speeds, and lower latency for their regular devices as well,” he adds, before warning: “It’s going to cost a lot of money.”

5. ChatGPT-like tech will become the norm

Large language models will become a given because they lower the cost of artificial intelligence (AI) by allowing you to have multiple models over one base, giving you a speed advantage, says Krishna . “Beyond language is going to be a given, language because code can be a form of language and then you can go to, ‘what else can be a form of language?’ Legal documents, regulatory work etc,” he adds.

6. Great things will need good data

The recent excitement around ChatGPT has demonstrated the potential of having large amounts of data and the great things you do with it, but it has also highlighted the need for ‘good’ data, says Julie Sweet , Chair and CEO, Accenture. “We love what’s going on right now, with everyone talking about it. Because in many cases people have been doubters about why you need to have really clean data connecting to external data, use these then foundational models on specific use cases – a lot is going to be in digital manufacturing, in agriculture, industrial use cases – and it reminds everyone you have to get the data right.”

7. The metaverse is evolving very quickly

The metaverse is evolving faster than expected because it taps into human need while also creating something new, observes Sweet . “With human need, what we’ve discovered is that when you immerse yourself in an experience together, you learn better and you can also do things better,” she says. “We estimate there will be $1 trillion of revenue influenced by the metaverse by 2025.”

8. We will see a democratization of services

Our grandchildren will live in a very different world thanks to the democratization of products and services that are currently only available to the elite or wealthy, predicts Mittal . “Sitting like this, in the metaverse, you’ll probably have a few million people join from around the world, to experience what we’re experiencing today,” he says. “You’re going to see the benefit of technology really impacting people’s lives on a daily basis, and they will live a very different life to us.”

Watch the full session here .

Don't miss any update on this topic

Create a free account and access your personalized content collection with our latest publications and analyses.

License and Republishing

World Economic Forum articles may be republished in accordance with the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Public License, and in accordance with our Terms of Use.

The views expressed in this article are those of the author alone and not the World Economic Forum.

Related topics:

The agenda .chakra .wef-n7bacu{margin-top:16px;margin-bottom:16px;line-height:1.388;font-weight:400;} weekly.

A weekly update of the most important issues driving the global agenda

.chakra .wef-1dtnjt5{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;-webkit-flex-wrap:wrap;-ms-flex-wrap:wrap;flex-wrap:wrap;} More on Davos Agenda .chakra .wef-nr1rr4{display:-webkit-inline-box;display:-webkit-inline-flex;display:-ms-inline-flexbox;display:inline-flex;white-space:normal;vertical-align:middle;text-transform:uppercase;font-size:0.75rem;border-radius:0.25rem;font-weight:700;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;line-height:1.2;-webkit-letter-spacing:1.25px;-moz-letter-spacing:1.25px;-ms-letter-spacing:1.25px;letter-spacing:1.25px;background:none;padding:0px;color:#B3B3B3;-webkit-box-decoration-break:clone;box-decoration-break:clone;-webkit-box-decoration-break:clone;}@media screen and (min-width:37.5rem){.chakra .wef-nr1rr4{font-size:0.875rem;}}@media screen and (min-width:56.5rem){.chakra .wef-nr1rr4{font-size:1rem;}} See all

impact of digital technology on society essay

Building trust amid uncertainty – 3 risk experts on the state of the world in 2024

Andrea Willige

March 27, 2024

impact of digital technology on society essay

Why obesity is rising and how we can live healthy lives

Shyam Bishen

March 20, 2024

impact of digital technology on society essay

Global cooperation is stalling – but new trade pacts show collaboration is still possible. Here are 6 to know about

Simon Torkington

March 15, 2024

impact of digital technology on society essay

How messages of hope, diversity and representation are being used to inspire changemakers to act

Miranda Barker

March 7, 2024

impact of digital technology on society essay

AI, leadership, and the art of persuasion – Forum  podcasts you should hear this month

Robin Pomeroy

March 1, 2024

impact of digital technology on society essay

This is how AI is impacting – and shaping – the creative industries, according to experts at Davos

Kate Whiting

February 28, 2024

Logo

Essay on Impact of Technology on Society

Students are often asked to write an essay on Impact of Technology on Society in their schools and colleges. And if you’re also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic.

Let’s take a look…

100 Words Essay on Impact of Technology on Society

Introduction.

Technology has greatly influenced society. It has changed how we communicate, learn, and even how we live our daily lives.

Communication

Technology, like smartphones and the internet, has made communication faster and easier. We can now talk to people across the world instantly.

In education, technology has made learning more accessible. Online classes and educational apps have made it possible to learn from anywhere.

Everyday Life

In our daily lives, technology helps us do tasks more efficiently. For example, we use GPS for navigation and apps for shopping.

In conclusion, technology has a significant impact on society. It has made our lives easier and more connected.

250 Words Essay on Impact of Technology on Society

The technological revolution has dramatically reshaped society, impacting various sectors such as communication, education, health, and business. The advent of technology has brought about significant changes, both positive and negative, that are reshaping our world.

Positive Impacts

Technology has undeniably improved our lives, providing unprecedented convenience and efficiency. In the realm of communication, digital platforms have bridged geographical gaps, fostering global connectivity and collaboration. In education, e-learning tools have democratized access to knowledge, enabling lifelong learning irrespective of location or socio-economic background. In healthcare, advanced medical technologies have improved diagnostic accuracy and treatment efficacy, enhancing patient outcomes and quality of life.

Negative Impacts

However, the pervasive influence of technology also poses challenges. The digital divide, a disparity in access to technology, exacerbates social inequalities. The over-reliance on technology can lead to sedentary lifestyles, contributing to physical and mental health issues. Moreover, the rise of digital platforms has increased the risk of cybercrimes, privacy breaches, and misinformation, posing threats to personal safety and societal harmony.

In conclusion, the impact of technology on society is multifaceted, bringing both benefits and drawbacks. It is crucial for society to harness the positive potential of technology while mitigating its negative implications. This balance requires thoughtful policy-making, education, and a collective commitment to using technology responsibly and ethically.

500 Words Essay on Impact of Technology on Society

Technology has undoubtedly become an integral part of our daily lives, influencing every sector from communication to health, education to entertainment. The advent of technology has significantly transformed society, shaping the way we interact, learn, work, and live. While the benefits of technology are numerous, it has also raised several concerns that demand careful consideration.

Enhanced Communication and Information Access

One of the most profound impacts of technology on society is the revolution in communication. The emergence of smartphones, social media platforms, and the internet has made communication instantaneous and borderless. Today, we can effortlessly connect with someone on the other side of the world in real-time.

Moreover, the internet has democratized information access. Online resources and digital libraries have made it possible for anyone with internet access to learn almost anything. This has significantly reduced the barriers to education and knowledge, fostering a global culture of continuous learning.

Technology and Work

The way we work has been radically transformed by technology. Automation and artificial intelligence have replaced many traditional jobs, leading to fears of job loss. However, they have also created new roles that didn’t exist before, such as data analysts, AI specialists, and digital marketers.

Moreover, technology has facilitated remote work, allowing people to work from anywhere, thereby promoting work-life balance. However, this also blurs the line between work and personal life, leading to potential burnout.

Healthcare Advancements

Technology has revolutionized healthcare, leading to improved patient care and health outcomes. Innovations like telemedicine, electronic health records, and wearable health devices have made healthcare more accessible and personalized. However, these advancements also raise concerns about data privacy and security.

Social Implications

Technology has significantly influenced our social interactions. On the one hand, it has enabled us to stay connected with friends and family, no matter where they are. On the other hand, excessive use of technology can lead to isolation and mental health issues.

Moreover, the rise of fake news and cyberbullying on social media platforms is a growing concern, highlighting the need for digital literacy and ethical tech usage.

Environmental Impact

Technology also plays a crucial role in addressing environmental challenges. Innovations like renewable energy technologies, precision agriculture, and digital twins are helping us combat climate change and promote sustainable development. However, the production and disposal of electronic waste also pose significant environmental threats.

In conclusion, the impact of technology on society is multifaceted, bringing both opportunities and challenges. As we continue to innovate and evolve, it is crucial to foster a culture of responsible technology use, ensuring that technological advancements contribute to societal well-being and sustainable development.

That’s it! I hope the essay helped you.

If you’re looking for more, here are essays on other interesting topics:

  • Essay on How Technology Changed Our Lives
  • Essay on Benefits of Modern Technology
  • Essay on Pros and Cons of Technology

Apart from these, you can look at all the essays by clicking here .

Happy studying!

One Comment

Thank you so much this helped a lot for my essay writing I got the idea on how I’m gonna write my essay.

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Save my name, email, and website in this browser for the next time I comment.

Greater Good Science Center • Magazine • In Action • In Education

Relationships Articles & More

What makes technology good or bad for us, how technology affects our well-being partly depends on whether it strengthens our relationships..

Everyone’s worried about smartphones. Headlines like “ Have smartphones destroyed a generation? ” and “ Smartphone addiction could be changing your brain ” paint a bleak picture of our smartphone addiction and its long-term consequences. This isn’t a new lament—public opinion at the advent of the newspaper worried that people would forego the stimulating pleasures of early-morning conversation in favor of reading the daily .

Is the story of technology really that bad? Certainly there’s some reason to worry. Smartphone use has been linked to serious issues, such as dwindling attention spans , crippling depression , and even increased incidence of brain cancer . Ultimately, though, the same concern comes up again and again: Smartphones can’t be good for us, because they’re replacing the real human connection of the good old days.

Everyone’s heard how today’s teens just sit together in a room, texting, instead of actually talking to each other. But could those teenagers actually be getting something meaningful and real out of all that texting?

The science of connection

impact of digital technology on society essay

A quick glance at the research on technology-mediated interaction reveals an ambivalent literature. Some studies show that time spent socializing online can decrease loneliness , increase well-being , and help the socially anxious learn how to connect to others. Other studies suggest that time spent socializing online can cause loneliness , decrease well-being , and foster a crippling dependence on technology-mediated interaction to the point that users prefer it to face-to-face conversation.

It’s tempting to say that some of these studies must be right and others wrong, but the body of evidence on both sides is a little too robust to be swept under the rug. Instead, the impact of social technology is more complicated. Sometimes, superficially similar behaviors have fundamentally different consequences. Sometimes online socialization is good for you, sometimes it’s bad, and the devil is entirely in the details.

This isn’t a novel proposition; after all, conflicting results started appearing within the first few studies into the internet’s social implications, back in the 1990s. Many people have suggested that to understand the consequences of online socialization, we need to dig deeper into situational factors and circumstances. But what we still have to do is move beyond recognition of the problem to provide an answer: When, how, and why are some online interactions great, while others are dangerous?

The interpersonal connection behaviors framework

As a scientist of close relationships, I can’t help but see online interactions differently from thinkers in other fields. People build relationships by demonstrating their understanding of each other’s needs and perspectives, a cyclical process that brings them closer together. If I tell you my secrets, and you respond supportively, I’m much more likely to confide in you again—and you, in turn, are much more likely to confide in me.

This means that every time two people talk to each other, an opportunity for relationship growth is unfolding. Many times, that opportunity isn’t taken; we aren’t about to have an in-depth conversation with the barista who asks for our order. But connection is always theoretically possible, and that’s true whether we’re interacting online or face-to-face.

Close relationships are the bread and butter of happiness—and even health. Being socially isolated is a stronger predictor of mortality than is smoking multiple cigarettes a day . If we want to understand the role technology plays in our well-being, we need to start with the role it plays in our relationships.

And it turns out that the kind of technology-mediated interactions that lead to positive outcomes are exactly those that are likely to build stronger relationships. Spending your time online by scheduling interactions with people you see day in and day out seems to pay dividends in increased social integration . Using the internet to compensate for being lonely just makes you lonelier; using the internet to actively seek out connection has the opposite effect .

“The kind of technology-mediated interactions that lead to positive outcomes are exactly those that are likely to build stronger relationships”

On the other hand, technology-mediated interactions that don’t really address our close relationships don’t seem to do us any good—and might, in fact, do us harm. Passively scrolling through your Facebook feed without interacting with people has been linked to decreased well-being and increased depression post-Facebook use.

That kind of passive usage is a good example of “ social snacking .” Like eating junk food, social snacking can temporarily satisfy you, but it’s lacking in nutritional content. Looking at your friends’ posts without ever responding might make you feel more connected to them, but it doesn’t build intimacy.

Passive engagement has a second downside, as well: social comparison . When we compare our messy lived experiences to others’ curated self-presentations, we are likely to suffer from lowered self-esteem , happiness, and well-being. This effect is only exacerbated when we consume people’s digital lives without interacting with them, making it all too easy to miss the less photogenic moments of their lives.

Moving forward

The interpersonal connection behaviors framework doesn’t explain everything that might influence our well-being after spending time on social media. The internet poses plenty of other dangers—for two examples, the sense of wasting time or emotional contagion from negative news. However, a focus on meaningful social interaction can help explain decades of contradictory findings. And even if the framework itself is challenged by future work, its central concept is bound to be upheld: We have to study the details of how people are spending their time online if we want to understand its likely effects.

In the meantime, this framework has some practical implications for those worried about their own online time. If you make sure you’re using social media for genuinely social purposes, with conscious thought about how it can improve your life and your relationships, you’ll be far more likely to enjoy your digital existence.

This article was originally published on the Behavioral Scientist . Read the original article .

About the Author

Jenna Clark

Jenna Clark

Jenna Clark, Ph.D. , is a senior behavioral researcher at Duke University's Center for Advanced Hindsight, where she works to help people make healthy decisions in spite of themselves. She's also interested in how technology contributes to our well-being through its effect on our close personal relationships.

You May Also Enjoy

How Smartphones Are Killing Conversation

This article — and everything on this site — is funded by readers like you.

Become a subscribing member today. Help us continue to bring “the science of a meaningful life” to you and to millions around the globe.

More From Forbes

Bridging the digital gap: tech's role in social responsibility.

  • Share to Facebook
  • Share to Twitter
  • Share to Linkedin

Enhancing Corporate Social Responsibility (CSR): Narrowing the Digital Gap

In todays landscape, technology is making a huge impact and shaping the vision for 2024 which is becoming more human by design. As outlined in the Technology Vision 2024 report , the convergence of artificial intelligence, spatial computing, and interconnected ecosystems is reshaping how we interact with information and each other. Amidst this transformation, one of the most compelling aspects is the potential for technology to make a significant positive social impact.

In recent years, Corporate Social Responsibility (CSR) has emerged as a pivotal focal point for numerous tech enterprises, underlining a deep-seated acknowledgment of their societal influence. Among the myriad of strategies employed by tech firms to drive positive social transformation, philanthropy and charitable endeavors stand out prominently. By allocating financial resources, facilitating technology access, and endorsing educational initiatives, these companies are actively working to bridge the digital divide, thereby empowering marginalized communities.

Yet, the scope of CSR extends beyond conventional philanthropic endeavors. Tech giants are actively immersing themselves in initiatives aimed at addressing urgent societal issues, harnessing their technological acumen to craft innovative solutions. Whether it entails augmenting healthcare accessibility, enriching educational prospects, or nurturing sustainable economic growth, these initiatives are effecting tangible change in the lives of individuals. For instance, leveraging digital advancements, online healthcare platforms like Curex are revolutionizing patient care by offering personalized allergy treatments through telemedicine-driven platforms.

Telehealth, as highlighted by Stephanie Watson, former Executive Editor of Harvard Women's Health Watch , operates through three primary modalities:

Synchronous delivery , wherein doctors communicate with patients in real-time via computer or telephone.

Asynchronous delivery , involving the recording of data, images, or messages for later consultation with healthcare providers.

Best High-Yield Savings Accounts Of 2024

Best 5% interest savings accounts of 2024.

Remote patient monitoring , where vital measurements like weight or blood pressure are transmitted to healthcare professionals.

Telehealth presents a myriad of advantages , including cost-efficiency, convenience, and expanded access to care, especially for individuals with mobility restrictions or those residing in rural areas lacking local medical facilities. This has led to a significant surge in telehealth adoption over the past decade, with 76 percent of U.S. hospitals currently utilizing telehealth to remotely connect doctors with patients, a stark rise from 35 percent recorded a decade ago.

Ethical Considerations: Prioritizing Responsible Technology

Ethical considerations in technology have become increasingly important as new innovations raise complex moral dilemmas. Issues such as privacy, data security, algorithmic bias, and the societal impact of automation require careful consideration. To drive positive social impact, tech companies must prioritize ethics in their decision-making processes and proactively address these concerns.

Transparency, accountability, and user feedback mechanisms are essential components of ethical technology development. By adopting frameworks that promote responsible technology design and engaging with diverse stakeholders, companies can ensure that their products and services align with societal values and norms.

Innovative Healthcare Solutions And It’s Impact On Accessibility And Affordability

Amidst the broader landscape of technological advancements driving positive social change, companies like Curex are pioneering innovative solutions in healthcare. As an online allergy clinic, Curex has garnered attention for its groundbreaking treatment known as sublingual immunotherapy or allergy drops. With the allergy season upon us, platforms such as Curex are offering treatments that are helping many allergy patients get the solution they need. This treatment offers a safe, effective at-home alternative to traditional allergy shots, utilizing the same principle of introducing clinical-grade allergen extracts to desensitize the immune system. These treatments also retain the proven principle of introducing clinical-grade allergen extracts to desensitize the immune system. The key difference lies in how these extracts are administered, making the entire treatment much more convenient and cost-effective.

By eliminating the need for in-person visits, Curex is enhancing accessibility to allergy treatment for individuals who may face barriers such as distance, transportation, or time constraints. This at-home approach not only saves patients the inconvenience of frequent clinic visits but also empowers them to take control of their health from the comfort of their own homes.

Moreover, Curex's innovative approach to allergy treatment has significant cost-saving implications. Traditional allergy shots can be expensive, requiring frequent clinic visits and medical supervision. In contrast, Curex's sublingual immunotherapy offers a more affordable alternative, reducing the financial burden associated with allergy treatment. Curex offers a digital-first remote healthcare model and is able to provide medical care via telemedicine allowing it to offer solutions that are affordable. By leveraging technology to streamline healthcare delivery and optimize resources, Curex is democratizing access to allergy care and improving health outcomes for patients.

As we peer into the future of healthcare, pioneering initiatives such as Curex serve as prime examples of technology's transformative prowess in reshaping conventional treatment paradigms, amplifying accessibility, and fostering positive societal change. Through a steadfast commitment to innovation and the strategic utilization of technology to tackle healthcare hurdles, companies like Curex are instrumental in sculpting a landscape where high-quality healthcare is not just a privilege but a universal right, attainable and inclusive for all. At the core of Curex's mission lie the principles of safety, affordability, and accessibility, championed ardently by its founders, Charles and Gene.

Sustainability: Minimizing Environmental Footprint

The rapid growth of technology has come with a significant environmental footprint, including energy consumption, electronic waste, and carbon emissions. To address these challenges, tech companies are increasingly focusing on sustainability initiatives. This includes adopting green practices in their operations, investing in renewable energy, and optimizing energy efficiency.

Moreover, sustainability considerations are being integrated into product design and development processes. By creating products that are energy-efficient, recyclable, and environmentally friendly, tech companies are contributing to a more sustainable future. Promoting circular economy principles, such as product repairability and recycling programs, further minimizes electronic waste and extends the lifespan of devices.

Collaboration and Knowledge-Sharing: Amplifying Impact

Collaboration and knowledge-sharing are essential for driving positive social impact in the tech industry. By establishing partnerships with industry peers, nonprofits, academia, and governments, companies can address shared challenges collectively. Through sharing best practices, lessons learned, and research findings, tech firms can amplify their impact and foster a culture of collaboration and innovation. This collaborative approach not only accelerates progress but also ensures that diverse perspectives are considered, leading to more effective and inclusive solutions.

Moreover, collaboration enables the pooling of resources and expertise, allowing for more comprehensive and sustainable initiatives. By working together, tech companies can leverage each other's strengths and capabilities to tackle complex societal issues that no single organization can address alone. Additionally, partnerships with nonprofits and academia can provide valuable insights and access to communities that may be underserved or marginalized, ensuring that technology solutions are equitable and accessible to all.

Shaping a Future Where Technology Serves Humanity

The transformative power of technology to enact positive societal change is undeniable. By embracing corporate social responsibility, prioritizing ethical technology development, advocating for sustainability, and nurturing collaborative efforts, tech companies can imprint a lasting and uplifting impact on society.

Reflecting on this imperative, co-founder Gene Kakaulin emphasizes, "Millions of individuals urgently require personalized care that is both affordable and accessible. Recognizing this pressing need, we endeavored to devise targeted technological solutions to come to their aid."

As technology continues its rapid evolution, it becomes increasingly crucial to steer its trajectory towards a future where it serves humanity, thereby contributing to the creation of a more equitable, sustainable, and inclusive global community.

Fostering Positive Social Impact: 5 Strategies for New Technology

Ethical Frameworks : Embrace ethical guidelines in technology design and deployment to harmonize with societal values.

Stakeholder Engagement : Enlist a diverse array of stakeholders to anticipate and address potential social impacts collaboratively.

Impact Assessments : Prioritize thorough evaluations of social, environmental, and economic consequences before integrating new technologies.

Transparency and Accountability : Forge transparent decision-making processes and accountability mechanisms to uphold integrity.

Continuous Evaluation : Vigilantly monitor social impact post-deployment, adapting strategies to optimize positive outcomes.

As technology continues to shape our world, it's imperative to prioritize its positive social impact. By embedding ethical considerations, engaging stakeholders, conducting comprehensive impact assessments, fostering transparency and accountability, and persistently evaluating our efforts, we can ensure that technology serves humanity optimally. Together, we can pave the way for a future where technology not only drives innovation but also fosters a more equitable, sustainable, and inclusive society for generations to come.

Kalina Bryant

  • Editorial Standards
  • Reprints & Permissions

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Springer Nature - PMC COVID-19 Collection

Logo of phenaturepg

Impacts of digital technologies on education and factors influencing schools' digital capacity and transformation: A literature review

Stella timotheou.

1 CYENS Center of Excellence & Cyprus University of Technology (Cyprus Interaction Lab), Cyprus, CYENS Center of Excellence & Cyprus University of Technology, Nicosia-Limassol, Cyprus

Ourania Miliou

Yiannis dimitriadis.

2 Universidad de Valladolid (UVA), Spain, Valladolid, Spain

Sara Villagrá Sobrino

Nikoleta giannoutsou, romina cachia.

3 JRC - Joint Research Centre of the European Commission, Seville, Spain

Alejandra Martínez Monés

Andri ioannou, associated data.

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Digital technologies have brought changes to the nature and scope of education and led education systems worldwide to adopt strategies and policies for ICT integration. The latter brought about issues regarding the quality of teaching and learning with ICTs, especially concerning the understanding, adaptation, and design of the education systems in accordance with current technological trends. These issues were emphasized during the recent COVID-19 pandemic that accelerated the use of digital technologies in education, generating questions regarding digitalization in schools. Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses. Such results have engendered the need for schools to learn and build upon the experience to enhance their digital capacity and preparedness, increase their digitalization levels, and achieve a successful digital transformation. Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem, there is a need to show how these impacts are interconnected and identify the factors that can encourage an effective and efficient change in the school environments. For this purpose, we conducted a non-systematic literature review. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors that affect the schools’ digital capacity and digital transformation. The findings suggest that ICT integration in schools impacts more than just students’ performance; it affects several other school-related aspects and stakeholders, too. Furthermore, various factors affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the digital transformation process. The study results shed light on how ICTs can positively contribute to the digital transformation of schools and which factors should be considered for schools to achieve effective and efficient change.

Introduction

Digital technologies have brought changes to the nature and scope of education. Versatile and disruptive technological innovations, such as smart devices, the Internet of Things (IoT), artificial intelligence (AI), augmented reality (AR) and virtual reality (VR), blockchain, and software applications have opened up new opportunities for advancing teaching and learning (Gaol & Prasolova-Førland, 2021 ; OECD, 2021 ). Hence, in recent years, education systems worldwide have increased their investment in the integration of information and communication technology (ICT) (Fernández-Gutiérrez et al., 2020 ; Lawrence & Tar, 2018 ) and prioritized their educational agendas to adapt strategies or policies around ICT integration (European Commission, 2019 ). The latter brought about issues regarding the quality of teaching and learning with ICTs (Bates, 2015 ), especially concerning the understanding, adaptation, and design of education systems in accordance with current technological trends (Balyer & Öz, 2018 ). Studies have shown that despite the investment made in the integration of technology in schools, the results have not been promising, and the intended outcomes have not yet been achieved (Delgado et al., 2015 ; Lawrence & Tar, 2018 ). These issues were exacerbated during the COVID-19 pandemic, which forced teaching across education levels to move online (Daniel, 2020 ). Online teaching accelerated the use of digital technologies generating questions regarding the process, the nature, the extent, and the effectiveness of digitalization in schools (Cachia et al., 2021 ; König et al., 2020 ). Specifically, many schools demonstrated a lack of experience and low digital capacity, which resulted in widening gaps, inequalities, and learning losses (Blaskó et al., 2021 ; Di Pietro et al, 2020 ). Such results have engendered the need for schools to learn and build upon the experience in order to enhance their digital capacity (European Commission, 2020 ) and increase their digitalization levels (Costa et al., 2021 ). Digitalization offers possibilities for fundamental improvement in schools (OECD, 2021 ; Rott & Marouane, 2018 ) and touches many aspects of a school’s development (Delcker & Ifenthaler, 2021 ) . However, it is a complex process that requires large-scale transformative changes beyond the technical aspects of technology and infrastructure (Pettersson, 2021 ). Namely, digitalization refers to “ a series of deep and coordinated culture, workforce, and technology shifts and operating models ” (Brooks & McCormack, 2020 , p. 3) that brings cultural, organizational, and operational change through the integration of digital technologies (JISC, 2020 ). A successful digital transformation requires that schools increase their digital capacity levels, establishing the necessary “ culture, policies, infrastructure as well as digital competence of students and staff to support the effective integration of technology in teaching and learning practices ” (Costa et al, 2021 , p.163).

Given that the integration of digital technologies is a complex and continuous process that impacts different actors within the school ecosystem (Eng, 2005 ), there is a need to show how the different elements of the impact are interconnected and to identify the factors that can encourage an effective and efficient change in the school environment. To address the issues outlined above, we formulated the following research questions:

a) What is the impact of digital technologies on education?

b) Which factors might affect a school’s digital capacity and transformation?

In the present investigation, we conducted a non-systematic literature review of publications pertaining to the impact of digital technologies on education and the factors that affect a school’s digital capacity and transformation. The results of the literature review were organized thematically based on the evidence presented about the impact of digital technology on education and the factors which affect the schools’ digital capacity and digital transformation.

Methodology

The non-systematic literature review presented herein covers the main theories and research published over the past 17 years on the topic. It is based on meta-analyses and review papers found in scholarly, peer-reviewed content databases and other key studies and reports related to the concepts studied (e.g., digitalization, digital capacity) from professional and international bodies (e.g., the OECD). We searched the Scopus database, which indexes various online journals in the education sector with an international scope, to collect peer-reviewed academic papers. Furthermore, we used an all-inclusive Google Scholar search to include relevant key terms or to include studies found in the reference list of the peer-reviewed papers, and other key studies and reports related to the concepts studied by professional and international bodies. Lastly, we gathered sources from the Publications Office of the European Union ( https://op.europa.eu/en/home ); namely, documents that refer to policies related to digital transformation in education.

Regarding search terms, we first searched resources on the impact of digital technologies on education by performing the following search queries: “impact” OR “effects” AND “digital technologies” AND “education”, “impact” OR “effects” AND “ICT” AND “education”. We further refined our results by adding the terms “meta-analysis” and “review” or by adjusting the search options based on the features of each database to avoid collecting individual studies that would provide limited contributions to a particular domain. We relied on meta-analyses and review studies as these consider the findings of multiple studies to offer a more comprehensive view of the research in a given area (Schuele & Justice, 2006 ). Specifically, meta-analysis studies provided quantitative evidence based on statistically verifiable results regarding the impact of educational interventions that integrate digital technologies in school classrooms (Higgins et al., 2012 ; Tolani-Brown et al., 2011 ).

However, quantitative data does not offer explanations for the challenges or difficulties experienced during ICT integration in learning and teaching (Tolani-Brown et al., 2011 ). To fill this gap, we analyzed literature reviews and gathered in-depth qualitative evidence of the benefits and implications of technology integration in schools. In the analysis presented herein, we also included policy documents and reports from professional and international bodies and governmental reports, which offered useful explanations of the key concepts of this study and provided recent evidence on digital capacity and transformation in education along with policy recommendations. The inclusion and exclusion criteria that were considered in this study are presented in Table ​ Table1 1 .

Inclusion and exclusion criteria for the selection of resources on the impact of digital technologies on education

To ensure a reliable extraction of information from each study and assist the research synthesis we selected the study characteristics of interest (impact) and constructed coding forms. First, an overview of the synthesis was provided by the principal investigator who described the processes of coding, data entry, and data management. The coders followed the same set of instructions but worked independently. To ensure a common understanding of the process between coders, a sample of ten studies was tested. The results were compared, and the discrepancies were identified and resolved. Additionally, to ensure an efficient coding process, all coders participated in group meetings to discuss additions, deletions, and modifications (Stock, 1994 ). Due to the methodological diversity of the studied documents we began to synthesize the literature review findings based on similar study designs. Specifically, most of the meta-analysis studies were grouped in one category due to the quantitative nature of the measured impact. These studies tended to refer to student achievement (Hattie et al., 2014 ). Then, we organized the themes of the qualitative studies in several impact categories. Lastly, we synthesized both review and meta-analysis data across the categories. In order to establish a collective understanding of the concept of impact, we referred to a previous impact study by Balanskat ( 2009 ) which investigated the impact of technology in primary schools. In this context, the impact had a more specific ICT-related meaning and was described as “ a significant influence or effect of ICT on the measured or perceived quality of (parts of) education ” (Balanskat, 2009 , p. 9). In the study presented herein, the main impacts are in relation to learning and learners, teaching, and teachers, as well as other key stakeholders who are directly or indirectly connected to the school unit.

The study’s results identified multiple dimensions of the impact of digital technologies on students’ knowledge, skills, and attitudes; on equality, inclusion, and social integration; on teachers’ professional and teaching practices; and on other school-related aspects and stakeholders. The data analysis indicated various factors that might affect the schools’ digital capacity and transformation, such as digital competencies, the teachers’ personal characteristics and professional development, as well as the school’s leadership and management, administration, infrastructure, etc. The impacts and factors found in the literature review are presented below.

Impacts of digital technologies on students’ knowledge, skills, attitudes, and emotions

The impact of ICT use on students’ knowledge, skills, and attitudes has been investigated early in the literature. Eng ( 2005 ) found a small positive effect between ICT use and students' learning. Specifically, the author reported that access to computer-assisted instruction (CAI) programs in simulation or tutorial modes—used to supplement rather than substitute instruction – could enhance student learning. The author reported studies showing that teachers acknowledged the benefits of ICT on pupils with special educational needs; however, the impact of ICT on students' attainment was unclear. Balanskat et al. ( 2006 ) found a statistically significant positive association between ICT use and higher student achievement in primary and secondary education. The authors also reported improvements in the performance of low-achieving pupils. The use of ICT resulted in further positive gains for students, namely increased attention, engagement, motivation, communication and process skills, teamwork, and gains related to their behaviour towards learning. Evidence from qualitative studies showed that teachers, students, and parents recognized the positive impact of ICT on students' learning regardless of their competence level (strong/weak students). Punie et al. ( 2006 ) documented studies that showed positive results of ICT-based learning for supporting low-achieving pupils and young people with complex lives outside the education system. Liao et al. ( 2007 ) reported moderate positive effects of computer application instruction (CAI, computer simulations, and web-based learning) over traditional instruction on primary school student's achievement. Similarly, Tamim et al. ( 2011 ) reported small to moderate positive effects between the use of computer technology (CAI, ICT, simulations, computer-based instruction, digital and hypermedia) and student achievement in formal face-to-face classrooms compared to classrooms that did not use technology. Jewitt et al., ( 2011 ) found that the use of learning platforms (LPs) (virtual learning environments, management information systems, communication technologies, and information- and resource-sharing technologies) in schools allowed primary and secondary students to access a wider variety of quality learning resources, engage in independent and personalized learning, and conduct self- and peer-review; LPs also provide opportunities for teacher assessment and feedback. Similar findings were reported by Fu ( 2013 ), who documented a list of benefits and opportunities of ICT use. According to the author, the use of ICTs helps students access digital information and course content effectively and efficiently, supports student-centered and self-directed learning, as well as the development of a creative learning environment where more opportunities for critical thinking skills are offered, and promotes collaborative learning in a distance-learning environment. Higgins et al. ( 2012 ) found consistent but small positive associations between the use of technology and learning outcomes of school-age learners (5–18-year-olds) in studies linking the provision and use of technology with attainment. Additionally, Chauhan ( 2017 ) reported a medium positive effect of technology on the learning effectiveness of primary school students compared to students who followed traditional learning instruction.

The rise of mobile technologies and hardware devices instigated investigations into their impact on teaching and learning. Sung et al. ( 2016 ) reported a moderate effect on students' performance from the use of mobile devices in the classroom compared to the use of desktop computers or the non-use of mobile devices. Schmid et al. ( 2014 ) reported medium–low to low positive effects of technology integration (e.g., CAI, ICTs) in the classroom on students' achievement and attitude compared to not using technology or using technology to varying degrees. Tamim et al. ( 2015 ) found a low statistically significant effect of the use of tablets and other smart devices in educational contexts on students' achievement outcomes. The authors suggested that tablets offered additional advantages to students; namely, they reported improvements in students’ notetaking, organizational and communication skills, and creativity. Zheng et al. ( 2016 ) reported a small positive effect of one-to-one laptop programs on students’ academic achievement across subject areas. Additional reported benefits included student-centered, individualized, and project-based learning enhanced learner engagement and enthusiasm. Additionally, the authors found that students using one-to-one laptop programs tended to use technology more frequently than in non-laptop classrooms, and as a result, they developed a range of skills (e.g., information skills, media skills, technology skills, organizational skills). Haßler et al. ( 2016 ) found that most interventions that included the use of tablets across the curriculum reported positive learning outcomes. However, from 23 studies, five reported no differences, and two reported a negative effect on students' learning outcomes. Similar results were indicated by Kalati and Kim ( 2022 ) who investigated the effect of touchscreen technologies on young students’ learning. Specifically, from 53 studies, 34 advocated positive effects of touchscreen devices on children’s learning, 17 obtained mixed findings and two studies reported negative effects.

More recently, approaches that refer to the impact of gamification with the use of digital technologies on teaching and learning were also explored. A review by Pan et al. ( 2022 ) that examined the role of learning games in fostering mathematics education in K-12 settings, reported that gameplay improved students’ performance. Integration of digital games in teaching was also found as a promising pedagogical practice in STEM education that could lead to increased learning gains (Martinez et al., 2022 ; Wang et al., 2022 ). However, although Talan et al. ( 2020 ) reported a medium effect of the use of educational games (both digital and non-digital) on academic achievement, the effect of non-digital games was higher.

Over the last two years, the effects of more advanced technologies on teaching and learning were also investigated. Garzón and Acevedo ( 2019 ) found that AR applications had a medium effect on students' learning outcomes compared to traditional lectures. Similarly, Garzón et al. ( 2020 ) showed that AR had a medium impact on students' learning gains. VR applications integrated into various subjects were also found to have a moderate effect on students’ learning compared to control conditions (traditional classes, e.g., lectures, textbooks, and multimedia use, e.g., images, videos, animation, CAI) (Chen et al., 2022b ). Villena-Taranilla et al. ( 2022 ) noted the moderate effect of VR technologies on students’ learning when these were applied in STEM disciplines. In the same meta-analysis, Villena-Taranilla et al. ( 2022 ) highlighted the role of immersive VR, since its effect on students’ learning was greater (at a high level) across educational levels (K-6) compared to semi-immersive and non-immersive integrations. In another meta-analysis study, the effect size of the immersive VR was small and significantly differentiated across educational levels (Coban et al., 2022 ). The impact of AI on education was investigated by Su and Yang ( 2022 ) and Su et al. ( 2022 ), who showed that this technology significantly improved students’ understanding of AI computer science and machine learning concepts.

It is worth noting that the vast majority of studies referred to learning gains in specific subjects. Specifically, several studies examined the impact of digital technologies on students’ literacy skills and reported positive effects on language learning (Balanskat et al., 2006 ; Grgurović et al., 2013 ; Friedel et al., 2013 ; Zheng et al., 2016 ; Chen et al., 2022b ; Savva et al., 2022 ). Also, several studies documented positive effects on specific language learning areas, namely foreign language learning (Kao, 2014 ), writing (Higgins et al., 2012 ; Wen & Walters, 2022 ; Zheng et al., 2016 ), as well as reading and comprehension (Cheung & Slavin, 2011 ; Liao et al., 2007 ; Schwabe et al., 2022 ). ICTs were also found to have a positive impact on students' performance in STEM (science, technology, engineering, and mathematics) disciplines (Arztmann et al., 2022 ; Bado, 2022 ; Villena-Taranilla et al., 2022 ; Wang et al., 2022 ). Specifically, a number of studies reported positive impacts on students’ achievement in mathematics (Balanskat et al., 2006 ; Hillmayr et al., 2020 ; Li & Ma, 2010 ; Pan et al., 2022 ; Ran et al., 2022 ; Verschaffel et al., 2019 ; Zheng et al., 2016 ). Furthermore, studies documented positive effects of ICTs on science learning (Balanskat et al., 2006 ; Liao et al., 2007 ; Zheng et al., 2016 ; Hillmayr et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ; Lei et al., 2022a ). Çelik ( 2022 ) also noted that computer simulations can help students understand learning concepts related to science. Furthermore, some studies documented that the use of ICTs had a positive impact on students’ achievement in other subjects, such as geography, history, music, and arts (Chauhan, 2017 ; Condie & Munro, 2007 ), and design and technology (Balanskat et al., 2006 ).

More specific positive learning gains were reported in a number of skills, e.g., problem-solving skills and pattern exploration skills (Higgins et al., 2012 ), metacognitive learning outcomes (Verschaffel et al., 2019 ), literacy skills, computational thinking skills, emotion control skills, and collaborative inquiry skills (Lu et al., 2022 ; Su & Yang, 2022 ; Su et al., 2022 ). Additionally, several investigations have reported benefits from the use of ICT on students’ creativity (Fielding & Murcia, 2022 ; Liu et al., 2022 ; Quah & Ng, 2022 ). Lastly, digital technologies were also found to be beneficial for enhancing students’ lifelong learning skills (Haleem et al., 2022 ).

Apart from gaining knowledge and skills, studies also reported improvement in motivation and interest in mathematics (Higgins et. al., 2019 ; Fadda et al., 2022 ) and increased positive achievement emotions towards several subjects during interventions using educational games (Lei et al., 2022a ). Chen et al. ( 2022a ) also reported a small but positive effect of digital health approaches in bullying and cyberbullying interventions with K-12 students, demonstrating that technology-based approaches can help reduce bullying and related consequences by providing emotional support, empowerment, and change of attitude. In their meta-review study, Su et al. ( 2022 ) also documented that AI technologies effectively strengthened students’ attitudes towards learning. In another meta-analysis, Arztmann et al. ( 2022 ) reported positive effects of digital games on motivation and behaviour towards STEM subjects.

Impacts of digital technologies on equality, inclusion and social integration

Although most of the reviewed studies focused on the impact of ICTs on students’ knowledge, skills, and attitudes, reports were also made on other aspects in the school context, such as equality, inclusion, and social integration. Condie and Munro ( 2007 ) documented research interventions investigating how ICT can support pupils with additional or special educational needs. While those interventions were relatively small scale and mostly based on qualitative data, their findings indicated that the use of ICTs enabled the development of communication, participation, and self-esteem. A recent meta-analysis (Baragash et al., 2022 ) with 119 participants with different disabilities, reported a significant overall effect size of AR on their functional skills acquisition. Koh’s meta-analysis ( 2022 ) also revealed that students with intellectual and developmental disabilities improved their competence and performance when they used digital games in the lessons.

Istenic Starcic and Bagon ( 2014 ) found that the role of ICT in inclusion and the design of pedagogical and technological interventions was not sufficiently explored in educational interventions with people with special needs; however, some benefits of ICT use were found in students’ social integration. The issue of gender and technology use was mentioned in a small number of studies. Zheng et al. ( 2016 ) reported a statistically significant positive interaction between one-to-one laptop programs and gender. Specifically, the results showed that girls and boys alike benefitted from the laptop program, but the effect on girls’ achievement was smaller than that on boys’. Along the same lines, Arztmann et al. ( 2022 ) reported no difference in the impact of game-based learning between boys and girls, arguing that boys and girls equally benefited from game-based interventions in STEM domains. However, results from a systematic review by Cussó-Calabuig et al. ( 2018 ) found limited and low-quality evidence on the effects of intensive use of computers on gender differences in computer anxiety, self-efficacy, and self-confidence. Based on their view, intensive use of computers can reduce gender differences in some areas and not in others, depending on contextual and implementation factors.

Impacts of digital technologies on teachers’ professional and teaching practices

Various research studies have explored the impact of ICT on teachers’ instructional practices and student assessment. Friedel et al. ( 2013 ) found that the use of mobile devices by students enabled teachers to successfully deliver content (e.g., mobile serious games), provide scaffolding, and facilitate synchronous collaborative learning. The integration of digital games in teaching and learning activities also gave teachers the opportunity to study and apply various pedagogical practices (Bado, 2022 ). Specifically, Bado ( 2022 ) found that teachers who implemented instructional activities in three stages (pre-game, game, and post-game) maximized students’ learning outcomes and engagement. For instance, during the pre-game stage, teachers focused on lectures and gameplay training, at the game stage teachers provided scaffolding on content, addressed technical issues, and managed the classroom activities. During the post-game stage, teachers organized activities for debriefing to ensure that the gameplay had indeed enhanced students’ learning outcomes.

Furthermore, ICT can increase efficiency in lesson planning and preparation by offering possibilities for a more collaborative approach among teachers. The sharing of curriculum plans and the analysis of students’ data led to clearer target settings and improvements in reporting to parents (Balanskat et al., 2006 ).

Additionally, the use and application of digital technologies in teaching and learning were found to enhance teachers’ digital competence. Balanskat et al. ( 2006 ) documented studies that revealed that the use of digital technologies in education had a positive effect on teachers’ basic ICT skills. The greatest impact was found on teachers with enough experience in integrating ICTs in their teaching and/or who had recently participated in development courses for the pedagogical use of technologies in teaching. Punie et al. ( 2006 ) reported that the provision of fully equipped multimedia portable computers and the development of online teacher communities had positive impacts on teachers’ confidence and competence in the use of ICTs.

Moreover, online assessment via ICTs benefits instruction. In particular, online assessments support the digitalization of students’ work and related logistics, allow teachers to gather immediate feedback and readjust to new objectives, and support the improvement of the technical quality of tests by providing more accurate results. Additionally, the capabilities of ICTs (e.g., interactive media, simulations) create new potential methods of testing specific skills, such as problem-solving and problem-processing skills, meta-cognitive skills, creativity and communication skills, and the ability to work productively in groups (Punie et al., 2006 ).

Impacts of digital technologies on other school-related aspects and stakeholders

There is evidence that the effective use of ICTs and the data transmission offered by broadband connections help improve administration (Balanskat et al., 2006 ). Specifically, ICTs have been found to provide better management systems to schools that have data gathering procedures in place. Condie and Munro ( 2007 ) reported impacts from the use of ICTs in schools in the following areas: attendance monitoring, assessment records, reporting to parents, financial management, creation of repositories for learning resources, and sharing of information amongst staff. Such data can be used strategically for self-evaluation and monitoring purposes which in turn can result in school improvements. Additionally, they reported that online access to other people with similar roles helped to reduce headteachers’ isolation by offering them opportunities to share insights into the use of ICT in learning and teaching and how it could be used to support school improvement. Furthermore, ICTs provided more efficient and successful examination management procedures, namely less time-consuming reporting processes compared to paper-based examinations and smooth communications between schools and examination authorities through electronic data exchange (Punie et al., 2006 ).

Zheng et al. ( 2016 ) reported that the use of ICTs improved home-school relationships. Additionally, Escueta et al. ( 2017 ) reported several ICT programs that had improved the flow of information from the school to parents. Particularly, they documented that the use of ICTs (learning management systems, emails, dedicated websites, mobile phones) allowed for personalized and customized information exchange between schools and parents, such as attendance records, upcoming class assignments, school events, and students’ grades, which generated positive results on students’ learning outcomes and attainment. Such information exchange between schools and families prompted parents to encourage their children to put more effort into their schoolwork.

The above findings suggest that the impact of ICT integration in schools goes beyond students’ performance in school subjects. Specifically, it affects a number of school-related aspects, such as equality and social integration, professional and teaching practices, and diverse stakeholders. In Table ​ Table2, 2 , we summarize the different impacts of digital technologies on school stakeholders based on the literature review, while in Table ​ Table3 3 we organized the tools/platforms and practices/policies addressed in the meta-analyses, literature reviews, EU reports, and international bodies included in the manuscript.

The impact of digital technologies on schools’ stakeholders based on the literature review

Tools/platforms and practices/policies addressed in the meta-analyses, literature reviews, EU reports, and international bodies included in the manuscript

Additionally, based on the results of the literature review, there are many types of digital technologies with different affordances (see, for example, studies on VR vs Immersive VR), which evolve over time (e.g. starting from CAIs in 2005 to Augmented and Virtual reality 2020). Furthermore, these technologies are linked to different pedagogies and policy initiatives, which are critical factors in the study of impact. Table ​ Table3 3 summarizes the different tools and practices that have been used to examine the impact of digital technologies on education since 2005 based on the review results.

Factors that affect the integration of digital technologies

Although the analysis of the literature review demonstrated different impacts of the use of digital technology on education, several authors highlighted the importance of various factors, besides the technology itself, that affect this impact. For example, Liao et al. ( 2007 ) suggested that future studies should carefully investigate which factors contribute to positive outcomes by clarifying the exact relationship between computer applications and learning. Additionally, Haßler et al., ( 2016 ) suggested that the neutral findings regarding the impact of tablets on students learning outcomes in some of the studies included in their review should encourage educators, school leaders, and school officials to further investigate the potential of such devices in teaching and learning. Several other researchers suggested that a number of variables play a significant role in the impact of ICTs on students’ learning that could be attributed to the school context, teaching practices and professional development, the curriculum, and learners’ characteristics (Underwood, 2009 ; Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Tang et al., 2022 ).

Digital competencies

One of the most common challenges reported in studies that utilized digital tools in the classroom was the lack of students’ skills on how to use them. Fu ( 2013 ) found that students’ lack of technical skills is a barrier to the effective use of ICT in the classroom. Tamim et al. ( 2015 ) reported that students faced challenges when using tablets and smart mobile devices, associated with the technical issues or expertise needed for their use and the distracting nature of the devices and highlighted the need for teachers’ professional development. Higgins et al. ( 2012 ) reported that skills training about the use of digital technologies is essential for learners to fully exploit the benefits of instruction.

Delgado et al. ( 2015 ), meanwhile, reported studies that showed a strong positive association between teachers’ computer skills and students’ use of computers. Teachers’ lack of ICT skills and familiarization with technologies can become a constraint to the effective use of technology in the classroom (Balanskat et al., 2006 ; Delgado et al., 2015 ).

It is worth noting that the way teachers are introduced to ICTs affects the impact of digital technologies on education. Previous studies have shown that teachers may avoid using digital technologies due to limited digital skills (Balanskat, 2006 ), or they prefer applying “safe” technologies, namely technologies that their own teachers used and with which they are familiar (Condie & Munro, 2007 ). In this regard, the provision of digital skills training and exposure to new digital tools might encourage teachers to apply various technologies in their lessons (Condie & Munro, 2007 ). Apart from digital competence, technical support in the school setting has also been shown to affect teachers’ use of technology in their classrooms (Delgado et al., 2015 ). Ferrari et al. ( 2011 ) found that while teachers’ use of ICT is high, 75% stated that they needed more institutional support and a shift in the mindset of educational actors to achieve more innovative teaching practices. The provision of support can reduce time and effort as well as cognitive constraints, which could cause limited ICT integration in the school lessons by teachers (Escueta et al., 2017 ).

Teachers’ personal characteristics, training approaches, and professional development

Teachers’ personal characteristics and professional development affect the impact of digital technologies on education. Specifically, Cheok and Wong ( 2015 ) found that teachers’ personal characteristics (e.g., anxiety, self-efficacy) are associated with their satisfaction and engagement with technology. Bingimlas ( 2009 ) reported that lack of confidence, resistance to change, and negative attitudes in using new technologies in teaching are significant determinants of teachers’ levels of engagement in ICT. The same author reported that the provision of technical support, motivation support (e.g., awards, sufficient time for planning), and training on how technologies can benefit teaching and learning can eliminate the above barriers to ICT integration. Archer et al. ( 2014 ) found that comfort levels in using technology are an important predictor of technology integration and argued that it is essential to provide teachers with appropriate training and ongoing support until they are comfortable with using ICTs in the classroom. Hillmayr et al. ( 2020 ) documented that training teachers on ICT had an important effecton students’ learning.

According to Balanskat et al. ( 2006 ), the impact of ICTs on students’ learning is highly dependent on the teachers’ capacity to efficiently exploit their application for pedagogical purposes. Results obtained from the Teaching and Learning International Survey (TALIS) (OECD, 2021 ) revealed that although schools are open to innovative practices and have the capacity to adopt them, only 39% of teachers in the European Union reported that they are well or very well prepared to use digital technologies for teaching. Li and Ma ( 2010 ) and Hardman ( 2019 ) showed that the positive effect of technology on students’ achievement depends on the pedagogical practices used by teachers. Schmid et al. ( 2014 ) reported that learning was best supported when students were engaged in active, meaningful activities with the use of technological tools that provided cognitive support. Tamim et al. ( 2015 ) compared two different pedagogical uses of tablets and found a significant moderate effect when the devices were used in a student-centered context and approach rather than within teacher-led environments. Similarly, Garzón and Acevedo ( 2019 ) and Garzón et al. ( 2020 ) reported that the positive results from the integration of AR applications could be attributed to the existence of different variables which could influence AR interventions (e.g., pedagogical approach, learning environment, and duration of the intervention). Additionally, Garzón et al. ( 2020 ) suggested that the pedagogical resources that teachers used to complement their lectures and the pedagogical approaches they applied were crucial to the effective integration of AR on students’ learning gains. Garzón and Acevedo ( 2019 ) also emphasized that the success of a technology-enhanced intervention is based on both the technology per se and its characteristics and on the pedagogical strategies teachers choose to implement. For instance, their results indicated that the collaborative learning approach had the highest impact on students’ learning gains among other approaches (e.g., inquiry-based learning, situated learning, or project-based learning). Ran et al. ( 2022 ) also found that the use of technology to design collaborative and communicative environments showed the largest moderator effects among the other approaches.

Hattie ( 2008 ) reported that the effective use of computers is associated with training teachers in using computers as a teaching and learning tool. Zheng et al. ( 2016 ) noted that in addition to the strategies teachers adopt in teaching, ongoing professional development is also vital in ensuring the success of technology implementation programs. Sung et al. ( 2016 ) found that research on the use of mobile devices to support learning tends to report that the insufficient preparation of teachers is a major obstacle in implementing effective mobile learning programs in schools. Friedel et al. ( 2013 ) found that providing training and support to teachers increased the positive impact of the interventions on students’ learning gains. Trucano ( 2005 ) argued that positive impacts occur when digital technologies are used to enhance teachers’ existing pedagogical philosophies. Higgins et al. ( 2012 ) found that the types of technologies used and how they are used could also affect students’ learning. The authors suggested that training and professional development of teachers that focuses on the effective pedagogical use of technology to support teaching and learning is an important component of successful instructional approaches (Higgins et al., 2012 ). Archer et al. ( 2014 ) found that studies that reported ICT interventions during which teachers received training and support had moderate positive effects on students’ learning outcomes, which were significantly higher than studies where little or no detail about training and support was mentioned. Fu ( 2013 ) reported that the lack of teachers’ knowledge and skills on the technical and instructional aspects of ICT use in the classroom, in-service training, pedagogy support, technical and financial support, as well as the lack of teachers’ motivation and encouragement to integrate ICT on their teaching were significant barriers to the integration of ICT in education.

School leadership and management

Management and leadership are important cornerstones in the digital transformation process (Pihir et al., 2018 ). Zheng et al. ( 2016 ) documented leadership among the factors positively affecting the successful implementation of technology integration in schools. Strong leadership, strategic planning, and systematic integration of digital technologies are prerequisites for the digital transformation of education systems (Ređep, 2021 ). Management and leadership play a significant role in formulating policies that are translated into practice and ensure that developments in ICT become embedded into the life of the school and in the experiences of staff and pupils (Condie & Munro, 2007 ). Policy support and leadership must include the provision of an overall vision for the use of digital technologies in education, guidance for students and parents, logistical support, as well as teacher training (Conrads et al., 2017 ). Unless there is a commitment throughout the school, with accountability for progress at key points, it is unlikely for ICT integration to be sustained or become part of the culture (Condie & Munro, 2007 ). To achieve this, principals need to adopt and promote a whole-institution strategy and build a strong mutual support system that enables the school’s technological maturity (European Commission, 2019 ). In this context, school culture plays an essential role in shaping the mindsets and beliefs of school actors towards successful technology integration. Condie and Munro ( 2007 ) emphasized the importance of the principal’s enthusiasm and work as a source of inspiration for the school staff and the students to cultivate a culture of innovation and establish sustainable digital change. Specifically, school leaders need to create conditions in which the school staff is empowered to experiment and take risks with technology (Elkordy & Lovinelli, 2020 ).

In order for leaders to achieve the above, it is important to develop capacities for learning and leading, advocating professional learning, and creating support systems and structures (European Commission, 2019 ). Digital technology integration in education systems can be challenging and leadership needs guidance to achieve it. Such guidance can be introduced through the adoption of new methods and techniques in strategic planning for the integration of digital technologies (Ređep, 2021 ). Even though the role of leaders is vital, the relevant training offered to them has so far been inadequate. Specifically, only a third of the education systems in Europe have put in place national strategies that explicitly refer to the training of school principals (European Commission, 2019 , p. 16).

Connectivity, infrastructure, and government and other support

The effective integration of digital technologies across levels of education presupposes the development of infrastructure, the provision of digital content, and the selection of proper resources (Voogt et al., 2013 ). Particularly, a high-quality broadband connection in the school increases the quality and quantity of educational activities. There is evidence that ICT increases and formalizes cooperative planning between teachers and cooperation with managers, which in turn has a positive impact on teaching practices (Balanskat et al., 2006 ). Additionally, ICT resources, including software and hardware, increase the likelihood of teachers integrating technology into the curriculum to enhance their teaching practices (Delgado et al., 2015 ). For example, Zheng et al. ( 2016 ) found that the use of one-on-one laptop programs resulted in positive changes in teaching and learning, which would not have been accomplished without the infrastructure and technical support provided to teachers. Delgado et al. ( 2015 ) reported that limited access to technology (insufficient computers, peripherals, and software) and lack of technical support are important barriers to ICT integration. Access to infrastructure refers not only to the availability of technology in a school but also to the provision of a proper amount and the right types of technology in locations where teachers and students can use them. Effective technical support is a central element of the whole-school strategy for ICT (Underwood, 2009 ). Bingimlas ( 2009 ) reported that lack of technical support in the classroom and whole-school resources (e.g., failing to connect to the Internet, printers not printing, malfunctioning computers, and working on old computers) are significant barriers that discourage the use of ICT by teachers. Moreover, poor quality and inadequate hardware maintenance, and unsuitable educational software may discourage teachers from using ICTs (Balanskat et al., 2006 ; Bingimlas, 2009 ).

Government support can also impact the integration of ICTs in teaching. Specifically, Balanskat et al. ( 2006 ) reported that government interventions and training programs increased teachers’ enthusiasm and positive attitudes towards ICT and led to the routine use of embedded ICT.

Lastly, another important factor affecting digital transformation is the development and quality assurance of digital learning resources. Such resources can be support textbooks and related materials or resources that focus on specific subjects or parts of the curriculum. Policies on the provision of digital learning resources are essential for schools and can be achieved through various actions. For example, some countries are financing web portals that become repositories, enabling teachers to share resources or create their own. Additionally, they may offer e-learning opportunities or other services linked to digital education. In other cases, specific agencies of projects have also been set up to develop digital resources (Eurydice, 2019 ).

Administration and digital data management

The digital transformation of schools involves organizational improvements at the level of internal workflows, communication between the different stakeholders, and potential for collaboration. Vuorikari et al. ( 2020 ) presented evidence that digital technologies supported the automation of administrative practices in schools and reduced the administration’s workload. There is evidence that digital data affects the production of knowledge about schools and has the power to transform how schooling takes place. Specifically, Sellar ( 2015 ) reported that data infrastructure in education is developing due to the demand for “ information about student outcomes, teacher quality, school performance, and adult skills, associated with policy efforts to increase human capital and productivity practices ” (p. 771). In this regard, practices, such as datafication which refers to the “ translation of information about all kinds of things and processes into quantified formats” have become essential for decision-making based on accountability reports about the school’s quality. The data could be turned into deep insights about education or training incorporating ICTs. For example, measuring students’ online engagement with the learning material and drawing meaningful conclusions can allow teachers to improve their educational interventions (Vuorikari et al., 2020 ).

Students’ socioeconomic background and family support

Research show that the active engagement of parents in the school and their support for the school’s work can make a difference to their children’s attitudes towards learning and, as a result, their achievement (Hattie, 2008 ). In recent years, digital technologies have been used for more effective communication between school and family (Escueta et al., 2017 ). The European Commission ( 2020 ) presented data from a Eurostat survey regarding the use of computers by students during the pandemic. The data showed that younger pupils needed additional support and guidance from parents and the challenges were greater for families in which parents had lower levels of education and little to no digital skills.

In this regard, the socio-economic background of the learners and their socio-cultural environment also affect educational achievements (Punie et al., 2006 ). Trucano documented that the use of computers at home positively influenced students’ confidence and resulted in more frequent use at school, compared to students who had no home access (Trucano, 2005 ). In this sense, the socio-economic background affects the access to computers at home (OECD, 2015 ) which in turn influences the experience of ICT, an important factor for school achievement (Punie et al., 2006 ; Underwood, 2009 ). Furthermore, parents from different socio-economic backgrounds may have different abilities and availability to support their children in their learning process (Di Pietro et al., 2020 ).

Schools’ socioeconomic context and emergency situations

The socio-economic context of the school is closely related to a school’s digital transformation. For example, schools in disadvantaged, rural, or deprived areas are likely to lack the digital capacity and infrastructure required to adapt to the use of digital technologies during emergency periods, such as the COVID-19 pandemic (Di Pietro et al., 2020 ). Data collected from school principals confirmed that in several countries, there is a rural/urban divide in connectivity (OECD, 2015 ).

Emergency periods also affect the digitalization of schools. The COVID-19 pandemic led to the closure of schools and forced them to seek appropriate and connective ways to keep working on the curriculum (Di Pietro et al., 2020 ). The sudden large-scale shift to distance and online teaching and learning also presented challenges around quality and equity in education, such as the risk of increased inequalities in learning, digital, and social, as well as teachers facing difficulties coping with this demanding situation (European Commission, 2020 ).

Looking at the findings of the above studies, we can conclude that the impact of digital technologies on education is influenced by various actors and touches many aspects of the school ecosystem. Figure  1 summarizes the factors affecting the digital technologies’ impact on school stakeholders based on the findings from the literature review.

An external file that holds a picture, illustration, etc.
Object name is 10639_2022_11431_Fig1_HTML.jpg

Factors that affect the impact of ICTs on education

The findings revealed that the use of digital technologies in education affects a variety of actors within a school’s ecosystem. First, we observed that as technologies evolve, so does the interest of the research community to apply them to school settings. Figure  2 summarizes the trends identified in current research around the impact of digital technologies on schools’ digital capacity and transformation as found in the present study. Starting as early as 2005, when computers, simulations, and interactive boards were the most commonly applied tools in school interventions (e.g., Eng, 2005 ; Liao et al., 2007 ; Moran et al., 2008 ; Tamim et al., 2011 ), moving towards the use of learning platforms (Jewitt et al., 2011 ), then to the use of mobile devices and digital games (e.g., Tamim et al., 2015 ; Sung et al., 2016 ; Talan et al., 2020 ), as well as e-books (e.g., Savva et al., 2022 ), to the more recent advanced technologies, such as AR and VR applications (e.g., Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Kalemkuş & Kalemkuş, 2022 ), or robotics and AI (e.g., Su & Yang, 2022 ; Su et al., 2022 ). As this evolution shows, digital technologies are a concept in flux with different affordances and characteristics. Additionally, from an instructional perspective, there has been a growing interest in different modes and models of content delivery such as online, blended, and hybrid modes (e.g., Cheok & Wong, 2015 ; Kazu & Yalçin, 2022 ; Ulum, 2022 ). This is an indication that the value of technologies to support teaching and learning as well as other school-related practices is increasingly recognized by the research and school community. The impact results from the literature review indicate that ICT integration on students’ learning outcomes has effects that are small (Coban et al., 2022 ; Eng, 2005 ; Higgins et al., 2012 ; Schmid et al., 2014 ; Tamim et al., 2015 ; Zheng et al., 2016 ) to moderate (Garzón & Acevedo, 2019 ; Garzón et al., 2020 ; Liao et al., 2007 ; Sung et al., 2016 ; Talan et al., 2020 ; Wen & Walters, 2022 ). That said, a number of recent studies have reported high effect sizes (e.g., Kazu & Yalçin, 2022 ).

An external file that holds a picture, illustration, etc.
Object name is 10639_2022_11431_Fig2_HTML.jpg

Current work and trends in the study of the impact of digital technologies on schools’ digital capacity

Based on these findings, several authors have suggested that the impact of technology on education depends on several variables and not on the technology per se (Tamim et al., 2011 ; Higgins et al., 2012 ; Archer et al., 2014 ; Sung et al., 2016 ; Haßler et al., 2016 ; Chauhan, 2017 ; Lee et al., 2020 ; Lei et al., 2022a ). While the impact of ICTs on student achievement has been thoroughly investigated by researchers, other aspects related to school life that are also affected by ICTs, such as equality, inclusion, and social integration have received less attention. Further analysis of the literature review has revealed a greater investment in ICT interventions to support learning and teaching in the core subjects of literacy and STEM disciplines, especially mathematics, and science. These were the most common subjects studied in the reviewed papers often drawing on national testing results, while studies that investigated other subject areas, such as social studies, were limited (Chauhan, 2017 ; Condie & Munro, 2007 ). As such, research is still lacking impact studies that focus on the effects of ICTs on a range of curriculum subjects.

The qualitative research provided additional information about the impact of digital technologies on education, documenting positive effects and giving more details about implications, recommendations, and future research directions. Specifically, the findings regarding the role of ICTs in supporting learning highlight the importance of teachers’ instructional practice and the learning context in the use of technologies and consequently their impact on instruction (Çelik, 2022 ; Schmid et al., 2014 ; Tamim et al., 2015 ). The review also provided useful insights regarding the various factors that affect the impact of digital technologies on education. These factors are interconnected and play a vital role in the transformation process. Specifically, these factors include a) digital competencies; b) teachers’ personal characteristics and professional development; c) school leadership and management; d) connectivity, infrastructure, and government support; e) administration and data management practices; f) students’ socio-economic background and family support and g) the socioeconomic context of the school and emergency situations. It is worth noting that we observed factors that affect the integration of ICTs in education but may also be affected by it. For example, the frequent use of ICTs and the use of laptops by students for instructional purposes positively affect the development of digital competencies (Zheng et al., 2016 ) and at the same time, the digital competencies affect the use of ICTs (Fu, 2013 ; Higgins et al., 2012 ). As a result, the impact of digital technologies should be explored more as an enabler of desirable and new practices and not merely as a catalyst that improves the output of the education process i.e. namely student attainment.

Conclusions

Digital technologies offer immense potential for fundamental improvement in schools. However, investment in ICT infrastructure and professional development to improve school education are yet to provide fruitful results. Digital transformation is a complex process that requires large-scale transformative changes that presuppose digital capacity and preparedness. To achieve such changes, all actors within the school’s ecosystem need to share a common vision regarding the integration of ICTs in education and work towards achieving this goal. Our literature review, which synthesized quantitative and qualitative data from a list of meta-analyses and review studies, provided useful insights into the impact of ICTs on different school stakeholders and showed that the impact of digital technologies touches upon many different aspects of school life, which are often overlooked when the focus is on student achievement as the final output of education. Furthermore, the concept of digital technologies is a concept in flux as technologies are not only different among them calling for different uses in the educational practice but they also change through time. Additionally, we opened a forum for discussion regarding the factors that affect a school’s digital capacity and transformation. We hope that our study will inform policy, practice, and research and result in a paradigm shift towards more holistic approaches in impact and assessment studies.

Study limitations and future directions

We presented a review of the study of digital technologies' impact on education and factors influencing schools’ digital capacity and transformation. The study results were based on a non-systematic literature review grounded on the acquisition of documentation in specific databases. Future studies should investigate more databases to corroborate and enhance our results. Moreover, search queries could be enhanced with key terms that could provide additional insights about the integration of ICTs in education, such as “policies and strategies for ICT integration in education”. Also, the study drew information from meta-analyses and literature reviews to acquire evidence about the effects of ICT integration in schools. Such evidence was mostly based on the general conclusions of the studies. It is worth mentioning that, we located individual studies which showed different, such as negative or neutral results. Thus, further insights are needed about the impact of ICTs on education and the factors influencing the impact. Furthermore, the nature of the studies included in meta-analyses and reviews is different as they are based on different research methodologies and data gathering processes. For instance, in a meta-analysis, the impact among the studies investigated is measured in a particular way, depending on policy or research targets (e.g., results from national examinations, pre-/post-tests). Meanwhile, in literature reviews, qualitative studies offer additional insights and detail based on self-reports and research opinions on several different aspects and stakeholders who could affect and be affected by ICT integration. As a result, it was challenging to draw causal relationships between so many interrelating variables.

Despite the challenges mentioned above, this study envisaged examining school units as ecosystems that consist of several actors by bringing together several variables from different research epistemologies to provide an understanding of the integration of ICTs. However, the use of other tools and methodologies and models for evaluation of the impact of digital technologies on education could give more detailed data and more accurate results. For instance, self-reflection tools, like SELFIE—developed on the DigCompOrg framework- (Kampylis et al., 2015 ; Bocconi & Lightfoot, 2021 ) can help capture a school’s digital capacity and better assess the impact of ICTs on education. Furthermore, the development of a theory of change could be a good approach for documenting the impact of digital technologies on education. Specifically, theories of change are models used for the evaluation of interventions and their impact; they are developed to describe how interventions will work and give the desired outcomes (Mayne, 2015 ). Theory of change as a methodological approach has also been used by researchers to develop models for evaluation in the field of education (e.g., Aromatario et al., 2019 ; Chapman & Sammons, 2013 ; De Silva et al., 2014 ).

We also propose that future studies aim at similar investigations by applying more holistic approaches for impact assessment that can provide in-depth data about the impact of digital technologies on education. For instance, future studies could focus on different research questions about the technologies that are used during the interventions or the way the implementation takes place (e.g., What methodologies are used for documenting impact? How are experimental studies implemented? How can teachers be taken into account and trained on the technology and its functions? What are the elements of an appropriate and successful implementation? How is the whole intervention designed? On which learning theories is the technology implementation based?).

Future research could also focus on assessing the impact of digital technologies on various other subjects since there is a scarcity of research related to particular subjects, such as geography, history, arts, music, and design and technology. More research should also be done about the impact of ICTs on skills, emotions, and attitudes, and on equality, inclusion, social interaction, and special needs education. There is also a need for more research about the impact of ICTs on administration, management, digitalization, and home-school relationships. Additionally, although new forms of teaching and learning with the use of ICTs (e.g., blended, hybrid, and online learning) have initiated several investigations in mainstream classrooms, only a few studies have measured their impact on students’ learning. Additionally, our review did not document any study about the impact of flipped classrooms on K-12 education. Regarding teaching and learning approaches, it is worth noting that studies referred to STEM or STEAM did not investigate the impact of STEM/STEAM as an interdisciplinary approach to learning but only investigated the impact of ICTs on learning in each domain as a separate subject (science, technology, engineering, arts, mathematics). Hence, we propose future research to also investigate the impact of the STEM/STEAM approach on education. The impact of emerging technologies on education, such as AR, VR, robotics, and AI has also been investigated recently, but more work needs to be done.

Finally, we propose that future studies could focus on the way in which specific factors, e.g., infrastructure and government support, school leadership and management, students’ and teachers’ digital competencies, approaches teachers utilize in the teaching and learning (e.g., blended, online and hybrid learning, flipped classrooms, STEM/STEAM approach, project-based learning, inquiry-based learning), affect the impact of digital technologies on education. We hope that future studies will give detailed insights into the concept of schools’ digital transformation through further investigation of impacts and factors which influence digital capacity and transformation based on the results and the recommendations of the present study.

Acknowledgements

This project has received funding under Grant Agreement No Ref Ares (2021) 339036 7483039 as well as funding from the European Union’s Horizon 2020 Research and Innovation Program under Grant Agreement No 739578 and the Government of the Republic of Cyprus through the Deputy Ministry of Research, Innovation and Digital Policy. The UVa co-authors would like also to acknowledge funding from the European Regional Development Fund and the National Research Agency of the Spanish Ministry of Science and Innovation, under project grant PID2020-112584RB-C32.

Data availability statement

Declarations.

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

  • Archer K, Savage R, Sanghera-Sidhu S, Wood E, Gottardo A, Chen V. Examining the effectiveness of technology use in classrooms: A tertiary meta-analysis. Computers & Education. 2014; 78 :140–149. doi: 10.1016/j.compedu.2014.06.001. [ CrossRef ] [ Google Scholar ]
  • Aromatario O, Van Hoye A, Vuillemin A, Foucaut AM, Pommier J, Cambon L. Using theory of change to develop an intervention theory for designing and evaluating behavior change SDApps for healthy eating and physical exercise: The OCAPREV theory. BMC Public Health. 2019; 19 (1):1–12. doi: 10.1186/s12889-019-7828-4. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Arztmann, M., Hornstra, L., Jeuring, J., & Kester, L. (2022). Effects of games in STEM education: A meta-analysis on the moderating role of student background characteristics. Studies in Science Education , 1-37. 10.1080/03057267.2022.2057732
  • Bado N. Game-based learning pedagogy: A review of the literature. Interactive Learning Environments. 2022; 30 (5):936–948. doi: 10.1080/10494820.2019.1683587. [ CrossRef ] [ Google Scholar ]
  • Balanskat, A. (2009). Study of the impact of technology in primary schools – Synthesis Report. Empirica and European Schoolnet. Retrieved 30 June 2022 from: https://erte.dge.mec.pt/sites/default/files/Recursos/Estudos/synthesis_report_steps_en.pdf
  • Balanskat, A. (2006). The ICT Impact Report: A review of studies of ICT impact on schools in Europe, European Schoolnet. Retrieved 30 June 2022 from:  https://en.unesco.org/icted/content/ict-impact-report-review-studies-ict-impact-schools-europe
  • Balanskat, A., Blamire, R., & Kefala, S. (2006). The ICT impact report.  European Schoolnet . Retrieved from: http://colccti.colfinder.org/sites/default/files/ict_impact_report_0.pdf
  • Balyer, A., & Öz, Ö. (2018). Academicians’ views on digital transformation in education. International Online Journal of Education and Teaching (IOJET), 5 (4), 809–830. Retrieved 30 June 2022 from  http://iojet.org/index.php/IOJET/article/view/441/295
  • Baragash RS, Al-Samarraie H, Moody L, Zaqout F. Augmented reality and functional skills acquisition among individuals with special needs: A meta-analysis of group design studies. Journal of Special Education Technology. 2022; 37 (1):74–81. doi: 10.1177/0162643420910413. [ CrossRef ] [ Google Scholar ]
  • Bates, A. W. (2015). Teaching in a digital age: Guidelines for designing teaching and learning . Open Educational Resources Collection . 6. Retrieved 30 June 2022 from: https://irl.umsl.edu/oer/6
  • Bingimlas KA. Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Eurasia Journal of Mathematics, Science and Technology Education. 2009; 5 (3):235–245. doi: 10.12973/ejmste/75275. [ CrossRef ] [ Google Scholar ]
  • Blaskó Z, Costa PD, Schnepf SV. Learning losses and educational inequalities in Europe: Mapping the potential consequences of the COVID-19 crisis. Journal of European Social Policy. 2022; 32 (4):361–375. doi: 10.1177/09589287221091687. [ CrossRef ] [ Google Scholar ]
  • Bocconi S, Lightfoot M. Scaling up and integrating the selfie tool for schools' digital capacity in education and training systems: Methodology and lessons learnt. European Training Foundation. 2021 doi: 10.2816/907029,JRC123936. [ CrossRef ] [ Google Scholar ]
  • Brooks, D. C., & McCormack, M. (2020). Driving Digital Transformation in Higher Education . Retrieved 30 June 2022 from: https://library.educause.edu/-/media/files/library/2020/6/dx2020.pdf?la=en&hash=28FB8C377B59AFB1855C225BBA8E3CFBB0A271DA
  • Cachia, R., Chaudron, S., Di Gioia, R., Velicu, A., & Vuorikari, R. (2021). Emergency remote schooling during COVID-19, a closer look at European families. Retrieved 30 June 2022 from  https://publications.jrc.ec.europa.eu/repository/handle/JRC125787
  • Çelik B. The effects of computer simulations on students’ science process skills: Literature review. Canadian Journal of Educational and Social Studies. 2022; 2 (1):16–28. doi: 10.53103/cjess.v2i1.17. [ CrossRef ] [ Google Scholar ]
  • Chapman, C., & Sammons, P. (2013). School Self-Evaluation for School Improvement: What Works and Why? . CfBT Education Trust. 60 Queens Road, Reading, RG1 4BS, England.
  • Chauhan S. A meta-analysis of the impact of technology on learning effectiveness of elementary students. Computers & Education. 2017; 105 :14–30. doi: 10.1016/j.compedu.2016.11.005. [ CrossRef ] [ Google Scholar ]
  • Chen, Q., Chan, K. L., Guo, S., Chen, M., Lo, C. K. M., & Ip, P. (2022a). Effectiveness of digital health interventions in reducing bullying and cyberbullying: a meta-analysis. Trauma, Violence, & Abuse , 15248380221082090. 10.1177/15248380221082090 [ PubMed ]
  • Chen B, Wang Y, Wang L. The effects of virtual reality-assisted language learning: A meta-analysis. Sustainability. 2022; 14 (6):3147. doi: 10.3390/su14063147. [ CrossRef ] [ Google Scholar ]
  • Cheok ML, Wong SL. Predictors of e-learning satisfaction in teaching and learning for school teachers: A literature review. International Journal of Instruction. 2015; 8 (1):75–90. doi: 10.12973/iji.2015.816a. [ CrossRef ] [ Google Scholar ]
  • Cheung, A. C., & Slavin, R. E. (2011). The Effectiveness of Education Technology for Enhancing Reading Achievement: A Meta-Analysis. Center for Research and reform in Education .
  • Coban, M., Bolat, Y. I., & Goksu, I. (2022). The potential of immersive virtual reality to enhance learning: A meta-analysis. Educational Research Review , 100452. 10.1016/j.edurev.2022.100452
  • Condie, R., & Munro, R. K. (2007). The impact of ICT in schools-a landscape review. Retrieved 30 June 2022 from: https://oei.org.ar/ibertic/evaluacion/sites/default/files/biblioteca/33_impact_ict_in_schools.pdf
  • Conrads, J., Rasmussen, M., Winters, N., Geniet, A., Langer, L., (2017). Digital Education Policies in Europe and Beyond: Key Design Principles for More Effective Policies. Redecker, C., P. Kampylis, M. Bacigalupo, Y. Punie (ed.), EUR 29000 EN, Publications Office of the European Union, Luxembourg, 10.2760/462941
  • Costa P, Castaño-Muñoz J, Kampylis P. Capturing schools’ digital capacity: Psychometric analyses of the SELFIE self-reflection tool. Computers & Education. 2021; 162 :104080. doi: 10.1016/j.compedu.2020.104080. [ CrossRef ] [ Google Scholar ]
  • Cussó-Calabuig R, Farran XC, Bosch-Capblanch X. Effects of intensive use of computers in secondary school on gender differences in attitudes towards ICT: A systematic review. Education and Information Technologies. 2018; 23 (5):2111–2139. doi: 10.1007/s10639-018-9706-6. [ CrossRef ] [ Google Scholar ]
  • Daniel SJ. Education and the COVID-19 pandemic. Prospects. 2020; 49 (1):91–96. doi: 10.1007/s11125-020-09464-3. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Delcker J, Ifenthaler D. Teachers’ perspective on school development at German vocational schools during the Covid-19 pandemic. Technology, Pedagogy and Education. 2021; 30 (1):125–139. doi: 10.1080/1475939X.2020.1857826. [ CrossRef ] [ Google Scholar ]
  • Delgado, A., Wardlow, L., O’Malley, K., & McKnight, K. (2015). Educational technology: A review of the integration, resources, and effectiveness of technology in K-12 classrooms. Journal of Information Technology Education Research , 14, 397. Retrieved 30 June 2022 from  http://www.jite.org/documents/Vol14/JITEv14ResearchP397-416Delgado1829.pdf
  • De Silva MJ, Breuer E, Lee L, Asher L, Chowdhary N, Lund C, Patel V. Theory of change: A theory-driven approach to enhance the Medical Research Council's framework for complex interventions. Trials. 2014; 15 (1):1–13. doi: 10.1186/1745-6215-15-267. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Di Pietro G, Biagi F, Costa P, Karpiński Z, Mazza J. The likely impact of COVID-19 on education: Reflections based on the existing literature and recent international datasets. Publications Office of the European Union; 2020. [ Google Scholar ]
  • Elkordy A, Lovinelli J. Competencies, Culture, and Change: A Model for Digital Transformation in K12 Educational Contexts. In: Ifenthaler D, Hofhues S, Egloffstein M, Helbig C, editors. Digital Transformation of Learning Organizations. Springer; 2020. pp. 203–219. [ Google Scholar ]
  • Eng TS. The impact of ICT on learning: A review of research. International Education Journal. 2005; 6 (5):635–650. [ Google Scholar ]
  • European Commission. (2020). Digital Education Action Plan 2021 – 2027. Resetting education and training for the digital age. Retrieved 30 June 2022 from  https://ec.europa.eu/education/sites/default/files/document-library-docs/deap-communication-sept2020_en.pdf
  • European Commission. (2019). 2 nd survey of schools: ICT in education. Objective 1: Benchmark progress in ICT in schools . Retrieved 30 June 2022 from: https://data.europa.eu/euodp/data/storage/f/2019-03-19T084831/FinalreportObjective1-BenchmarkprogressinICTinschools.pdf
  • Eurydice. (2019). Digital Education at School in Europe , Luxembourg: Publications Office of the European Union. Retrieved 30 June 2022 from: https://eacea.ec.europa.eu/national-policies/eurydice/content/digital-education-school-europe_en
  • Escueta, M., Quan, V., Nickow, A. J., & Oreopoulos, P. (2017). Education technology: An evidence-based review. Retrieved 30 June 2022 from  https://ssrn.com/abstract=3031695
  • Fadda D, Pellegrini M, Vivanet G, Zandonella Callegher C. Effects of digital games on student motivation in mathematics: A meta-analysis in K-12. Journal of Computer Assisted Learning. 2022; 38 (1):304–325. doi: 10.1111/jcal.12618. [ CrossRef ] [ Google Scholar ]
  • Fernández-Gutiérrez M, Gimenez G, Calero J. Is the use of ICT in education leading to higher student outcomes? Analysis from the Spanish Autonomous Communities. Computers & Education. 2020; 157 :103969. doi: 10.1016/j.compedu.2020.103969. [ CrossRef ] [ Google Scholar ]
  • Ferrari, A., Cachia, R., & Punie, Y. (2011). Educational change through technology: A challenge for obligatory schooling in Europe. Lecture Notes in Computer Science , 6964 , 97–110. Retrieved 30 June 2022  https://link.springer.com/content/pdf/10.1007/978-3-642-23985-4.pdf
  • Fielding, K., & Murcia, K. (2022). Research linking digital technologies to young children’s creativity: An interpretive framework and systematic review. Issues in Educational Research , 32 (1), 105–125. Retrieved 30 June 2022 from  http://www.iier.org.au/iier32/fielding-abs.html
  • Friedel, H., Bos, B., Lee, K., & Smith, S. (2013). The impact of mobile handheld digital devices on student learning: A literature review with meta-analysis. In Society for Information Technology & Teacher Education International Conference (pp. 3708–3717). Association for the Advancement of Computing in Education (AACE).
  • Fu JS. ICT in education: A critical literature review and its implications. International Journal of Education and Development Using Information and Communication Technology (IJEDICT) 2013; 9 (1):112–125. [ Google Scholar ]
  • Gaol FL, Prasolova-Førland E. Special section editorial: The frontiers of augmented and mixed reality in all levels of education. Education and Information Technologies. 2022; 27 (1):611–623. doi: 10.1007/s10639-021-10746-2. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Garzón J, Acevedo J. Meta-analysis of the impact of Augmented Reality on students’ learning gains. Educational Research Review. 2019; 27 :244–260. doi: 10.1016/j.edurev.2019.04.001. [ CrossRef ] [ Google Scholar ]
  • Garzón, J., Baldiris, S., Gutiérrez, J., & Pavón, J. (2020). How do pedagogical approaches affect the impact of augmented reality on education? A meta-analysis and research synthesis. Educational Research Review , 100334. 10.1016/j.edurev.2020.100334
  • Grgurović M, Chapelle CA, Shelley MC. A meta-analysis of effectiveness studies on computer technology-supported language learning. ReCALL. 2013; 25 (2):165–198. doi: 10.1017/S0958344013000013. [ CrossRef ] [ Google Scholar ]
  • Haßler B, Major L, Hennessy S. Tablet use in schools: A critical review of the evidence for learning outcomes. Journal of Computer Assisted Learning. 2016; 32 (2):139–156. doi: 10.1111/jcal.12123. [ CrossRef ] [ Google Scholar ]
  • Haleem A, Javaid M, Qadri MA, Suman R. Understanding the role of digital technologies in education: A review. Sustainable Operations and Computers. 2022; 3 :275–285. doi: 10.1016/j.susoc.2022.05.004. [ CrossRef ] [ Google Scholar ]
  • Hardman J. Towards a pedagogical model of teaching with ICTs for mathematics attainment in primary school: A review of studies 2008–2018. Heliyon. 2019; 5 (5):e01726. doi: 10.1016/j.heliyon.2019.e01726. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Hattie J, Rogers HJ, Swaminathan H. The role of meta-analysis in educational research. In: Reid AD, Hart P, Peters MA, editors. A companion to research in education. Springer; 2014. pp. 197–207. [ Google Scholar ]
  • Hattie J. Visible learning: A synthesis of over 800 meta-analyses relating to achievement. Routledge. 2008 doi: 10.4324/9780203887332. [ CrossRef ] [ Google Scholar ]
  • Higgins S, Xiao Z, Katsipataki M. The impact of digital technology on learning: A summary for the education endowment foundation. Education Endowment Foundation and Durham University; 2012. [ Google Scholar ]
  • Higgins, K., Huscroft-D’Angelo, J., & Crawford, L. (2019). Effects of technology in mathematics on achievement, motivation, and attitude: A meta-analysis. Journal of Educational Computing Research , 57(2), 283-319.
  • Hillmayr D, Ziernwald L, Reinhold F, Hofer SI, Reiss KM. The potential of digital tools to enhance mathematics and science learning in secondary schools: A context-specific meta-analysis. Computers & Education. 2020; 153 (1038):97. doi: 10.1016/j.compedu.2020.103897. [ CrossRef ] [ Google Scholar ]
  • Istenic Starcic A, Bagon S. ICT-supported learning for inclusion of people with special needs: Review of seven educational technology journals, 1970–2011. British Journal of Educational Technology. 2014; 45 (2):202–230. doi: 10.1111/bjet.12086. [ CrossRef ] [ Google Scholar ]
  • Jewitt C, Clark W, Hadjithoma-Garstka C. The use of learning platforms to organise learning in English primary and secondary schools. Learning, Media and Technology. 2011; 36 (4):335–348. doi: 10.1080/17439884.2011.621955. [ CrossRef ] [ Google Scholar ]
  • JISC. (2020). What is digital transformation?.  Retrieved 30 June 2022 from: https://www.jisc.ac.uk/guides/digital-strategy-framework-for-university-leaders/what-is-digital-transformation
  • Kalati, A. T., & Kim, M. S. (2022). What is the effect of touchscreen technology on young children’s learning?: A systematic review. Education and Information Technologies , 1-19. 10.1007/s10639-021-10816-5
  • Kalemkuş, J., & Kalemkuş, F. (2022). Effect of the use of augmented reality applications on academic achievement of student in science education: Meta-analysis review. Interactive Learning Environments , 1-18. 10.1080/10494820.2022.2027458
  • Kao C-W. The effects of digital game-based learning task in English as a foreign language contexts: A meta-analysis. Education Journal. 2014; 42 (2):113–141. [ Google Scholar ]
  • Kampylis P, Punie Y, Devine J. Promoting effective digital-age learning - a European framework for digitally competent educational organisations. JRC Technical Reports. 2015 doi: 10.2791/54070. [ CrossRef ] [ Google Scholar ]
  • Kazu IY, Yalçin CK. Investigation of the effectiveness of hybrid learning on academic achievement: A meta-analysis study. International Journal of Progressive Education. 2022; 18 (1):249–265. doi: 10.29329/ijpe.2022.426.14. [ CrossRef ] [ Google Scholar ]
  • Koh C. A qualitative meta-analysis on the use of serious games to support learners with intellectual and developmental disabilities: What we know, what we need to know and what we can do. International Journal of Disability, Development and Education. 2022; 69 (3):919–950. doi: 10.1080/1034912X.2020.1746245. [ CrossRef ] [ Google Scholar ]
  • König J, Jäger-Biela DJ, Glutsch N. Adapting to online teaching during COVID-19 school closure: Teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education. 2020; 43 (4):608–622. doi: 10.1080/02619768.2020.1809650. [ CrossRef ] [ Google Scholar ]
  • Lawrence JE, Tar UA. Factors that influence teachers’ adoption and integration of ICT in teaching/learning process. Educational Media International. 2018; 55 (1):79–105. doi: 10.1080/09523987.2018.1439712. [ CrossRef ] [ Google Scholar ]
  • Lee, S., Kuo, L. J., Xu, Z., & Hu, X. (2020). The effects of technology-integrated classroom instruction on K-12 English language learners’ literacy development: A meta-analysis. Computer Assisted Language Learning , 1-32. 10.1080/09588221.2020.1774612
  • Lei, H., Chiu, M. M., Wang, D., Wang, C., & Xie, T. (2022a). Effects of game-based learning on students’ achievement in science: a meta-analysis. Journal of Educational Computing Research . 10.1177/07356331211064543
  • Lei H, Wang C, Chiu MM, Chen S. Do educational games affect students' achievement emotions? Evidence from a meta-analysis. Journal of Computer Assisted Learning. 2022; 38 (4):946–959. doi: 10.1111/jcal.12664. [ CrossRef ] [ Google Scholar ]
  • Liao YKC, Chang HW, Chen YW. Effects of computer application on elementary school student's achievement: A meta-analysis of students in Taiwan. Computers in the Schools. 2007; 24 (3–4):43–64. doi: 10.1300/J025v24n03_04. [ CrossRef ] [ Google Scholar ]
  • Li Q, Ma X. A meta-analysis of the effects of computer technology on school students’ mathematics learning. Educational Psychology Review. 2010; 22 (3):215–243. doi: 10.1007/s10648-010-9125-8. [ CrossRef ] [ Google Scholar ]
  • Liu, M., Pang, W., Guo, J., & Zhang, Y. (2022). A meta-analysis of the effect of multimedia technology on creative performance. Education and Information Technologies , 1-28. 10.1007/s10639-022-10981-1
  • Lu Z, Chiu MM, Cui Y, Mao W, Lei H. Effects of game-based learning on students’ computational thinking: A meta-analysis. Journal of Educational Computing Research. 2022 doi: 10.1177/07356331221100740. [ CrossRef ] [ Google Scholar ]
  • Martinez L, Gimenes M, Lambert E. Entertainment video games for academic learning: A systematic review. Journal of Educational Computing Research. 2022 doi: 10.1177/07356331211053848. [ CrossRef ] [ Google Scholar ]
  • Mayne J. Useful theory of change models. Canadian Journal of Program Evaluation. 2015; 30 (2):119–142. doi: 10.3138/cjpe.230. [ CrossRef ] [ Google Scholar ]
  • Moran J, Ferdig RE, Pearson PD, Wardrop J, Blomeyer RL., Jr Technology and reading performance in the middle-school grades: A meta-analysis with recommendations for policy and practice. Journal of Literacy Research. 2008; 40 (1):6–58. doi: 10.1080/10862960802070483. [ CrossRef ] [ Google Scholar ]
  • OECD. (2015). Students, Computers and Learning: Making the Connection . PISA, OECD Publishing, Paris. Retrieved from: 10.1787/9789264239555-en
  • OECD. (2021). OECD Digital Education Outlook 2021: Pushing the Frontiers with Artificial Intelligence, Blockchain and Robots. Retrieved from: https://www.oecd-ilibrary.org/education/oecd-digital-education-outlook-2021_589b283f-en
  • Pan Y, Ke F, Xu X. A systematic review of the role of learning games in fostering mathematics education in K-12 settings. Educational Research Review. 2022; 36 :100448. doi: 10.1016/j.edurev.2022.100448. [ CrossRef ] [ Google Scholar ]
  • Pettersson F. Understanding digitalization and educational change in school by means of activity theory and the levels of learning concept. Education and Information Technologies. 2021; 26 (1):187–204. doi: 10.1007/s10639-020-10239-8. [ CrossRef ] [ Google Scholar ]
  • Pihir, I., Tomičić-Pupek, K., & Furjan, M. T. (2018). Digital transformation insights and trends. In Central European Conference on Information and Intelligent Systems (pp. 141–149). Faculty of Organization and Informatics Varazdin. Retrieved 30 June 2022 from https://www.proquest.com/conference-papers-proceedings/digital-transformation-insights-trends/docview/2125639934/se-2
  • Punie, Y., Zinnbauer, D., & Cabrera, M. (2006). A review of the impact of ICT on learning. Working Paper prepared for DG EAC. Retrieved 30 June 2022 from: http://www.eurosfaire.prd.fr/7pc/doc/1224678677_jrc47246n.pdf
  • Quah CY, Ng KH. A systematic literature review on digital storytelling authoring tool in education: January 2010 to January 2020. International Journal of Human-Computer Interaction. 2022; 38 (9):851–867. doi: 10.1080/10447318.2021.1972608. [ CrossRef ] [ Google Scholar ]
  • Ran H, Kim NJ, Secada WG. A meta-analysis on the effects of technology's functions and roles on students' mathematics achievement in K-12 classrooms. Journal of computer assisted learning. 2022; 38 (1):258–284. doi: 10.1111/jcal.12611. [ CrossRef ] [ Google Scholar ]
  • Ređep, N. B. (2021). Comparative overview of the digital preparedness of education systems in selected CEE countries. Center for Policy Studies. CEU Democracy Institute .
  • Rott, B., & Marouane, C. (2018). Digitalization in schools–organization, collaboration and communication. In Digital Marketplaces Unleashed (pp. 113–124). Springer, Berlin, Heidelberg.
  • Savva M, Higgins S, Beckmann N. Meta-analysis examining the effects of electronic storybooks on language and literacy outcomes for children in grades Pre-K to grade 2. Journal of Computer Assisted Learning. 2022; 38 (2):526–564. doi: 10.1111/jcal.12623. [ CrossRef ] [ Google Scholar ]
  • Schmid RF, Bernard RM, Borokhovski E, Tamim RM, Abrami PC, Surkes MA, Wade CA, Woods J. The effects of technology use in postsecondary education: A meta-analysis of classroom applications. Computers & Education. 2014; 72 :271–291. doi: 10.1016/j.compedu.2013.11.002. [ CrossRef ] [ Google Scholar ]
  • Schuele CM, Justice LM. The importance of effect sizes in the interpretation of research: Primer on research: Part 3. The ASHA Leader. 2006; 11 (10):14–27. doi: 10.1044/leader.FTR4.11102006.14. [ CrossRef ] [ Google Scholar ]
  • Schwabe, A., Lind, F., Kosch, L., & Boomgaarden, H. G. (2022). No negative effects of reading on screen on comprehension of narrative texts compared to print: A meta-analysis. Media Psychology , 1-18. 10.1080/15213269.2022.2070216
  • Sellar S. Data infrastructure: a review of expanding accountability systems and large-scale assessments in education. Discourse: Studies in the Cultural Politics of Education. 2015; 36 (5):765–777. doi: 10.1080/01596306.2014.931117. [ CrossRef ] [ Google Scholar ]
  • Stock WA. Systematic coding for research synthesis. In: Cooper H, Hedges LV, editors. The handbook of research synthesis, 236. Russel Sage; 1994. pp. 125–138. [ Google Scholar ]
  • Su, J., Zhong, Y., & Ng, D. T. K. (2022). A meta-review of literature on educational approaches for teaching AI at the K-12 levels in the Asia-Pacific region. Computers and Education: Artificial Intelligence , 100065. 10.1016/j.caeai.2022.100065
  • Su J, Yang W. Artificial intelligence in early childhood education: A scoping review. Computers and Education: Artificial Intelligence. 2022; 3 :100049. doi: 10.1016/j.caeai.2022.100049. [ CrossRef ] [ Google Scholar ]
  • Sung YT, Chang KE, Liu TC. The effects of integrating mobile devices with teaching and learning on students' learning performance: A meta-analysis and research synthesis. Computers & Education. 2016; 94 :252–275. doi: 10.1016/j.compedu.2015.11.008. [ CrossRef ] [ Google Scholar ]
  • Talan T, Doğan Y, Batdı V. Efficiency of digital and non-digital educational games: A comparative meta-analysis and a meta-thematic analysis. Journal of Research on Technology in Education. 2020; 52 (4):474–514. doi: 10.1080/15391523.2020.1743798. [ CrossRef ] [ Google Scholar ]
  • Tamim, R. M., Bernard, R. M., Borokhovski, E., Abrami, P. C., & Schmid, R. F. (2011). What forty years of research says about the impact of technology on learning: A second-order meta-analysis and validation study. Review of Educational research, 81 (1), 4–28. Retrieved 30 June 2022 from 10.3102/0034654310393361
  • Tamim, R. M., Borokhovski, E., Pickup, D., Bernard, R. M., & El Saadi, L. (2015). Tablets for teaching and learning: A systematic review and meta-analysis. Commonwealth of Learning. Retrieved from: http://oasis.col.org/bitstream/handle/11599/1012/2015_Tamim-et-al_Tablets-for-Teaching-and-Learning.pdf
  • Tang C, Mao S, Xing Z, Naumann S. Improving student creativity through digital technology products: A literature review. Thinking Skills and Creativity. 2022; 44 :101032. doi: 10.1016/j.tsc.2022.101032. [ CrossRef ] [ Google Scholar ]
  • Tolani-Brown, N., McCormac, M., & Zimmermann, R. (2011). An analysis of the research and impact of ICT in education in developing country contexts. In ICTs and sustainable solutions for the digital divide: Theory and perspectives (pp. 218–242). IGI Global.
  • Trucano, M. (2005). Knowledge Maps: ICTs in Education. Washington, DC: info Dev / World Bank. Retrieved 30 June 2022 from  https://files.eric.ed.gov/fulltext/ED496513.pdf
  • Ulum H. The effects of online education on academic success: A meta-analysis study. Education and Information Technologies. 2022; 27 (1):429–450. doi: 10.1007/s10639-021-10740-8. [ PMC free article ] [ PubMed ] [ CrossRef ] [ Google Scholar ]
  • Underwood, J. D. (2009). The impact of digital technology: A review of the evidence of the impact of digital technologies on formal education. Retrieved 30 June 2022 from: http://dera.ioe.ac.uk/id/eprint/10491
  • Verschaffel, L., Depaepe, F., & Mevarech, Z. (2019). Learning Mathematics in metacognitively oriented ICT-Based learning environments: A systematic review of the literature. Education Research International , 2019 . 10.1155/2019/3402035
  • Villena-Taranilla R, Tirado-Olivares S, Cózar-Gutiérrez R, González-Calero JA. Effects of virtual reality on learning outcomes in K-6 education: A meta-analysis. Educational Research Review. 2022; 35 :100434. doi: 10.1016/j.edurev.2022.100434. [ CrossRef ] [ Google Scholar ]
  • Voogt J, Knezek G, Cox M, Knezek D, ten Brummelhuis A. Under which conditions does ICT have a positive effect on teaching and learning? A call to action. Journal of Computer Assisted Learning. 2013; 29 (1):4–14. doi: 10.1111/j.1365-2729.2011.00453.x. [ CrossRef ] [ Google Scholar ]
  • Vuorikari, R., Punie, Y., & Cabrera, M. (2020). Emerging technologies and the teaching profession: Ethical and pedagogical considerations based on near-future scenarios  (No. JRC120183). Joint Research Centre. Retrieved 30 June 2022 from: https://publications.jrc.ec.europa.eu/repository/handle/JRC120183
  • Wang LH, Chen B, Hwang GJ, Guan JQ, Wang YQ. Effects of digital game-based STEM education on students’ learning achievement: A meta-analysis. International Journal of STEM Education. 2022; 9 (1):1–13. doi: 10.1186/s40594-022-00344-0. [ CrossRef ] [ Google Scholar ]
  • Wen X, Walters SM. The impact of technology on students’ writing performances in elementary classrooms: A meta-analysis. Computers and Education Open. 2022; 3 :100082. doi: 10.1016/j.caeo.2022.100082. [ CrossRef ] [ Google Scholar ]
  • Zheng B, Warschauer M, Lin CH, Chang C. Learning in one-to-one laptop environments: A meta-analysis and research synthesis. Review of Educational Research. 2016; 86 (4):1052–1084. doi: 10.3102/0034654316628645. [ CrossRef ] [ Google Scholar ]

IMAGES

  1. Technology and Its Impact on Society Essay Example

    impact of digital technology on society essay

  2. The Impact of Digital Technologies Free Essay Example

    impact of digital technology on society essay

  3. Technology and Its Effects on Society (Essay)

    impact of digital technology on society essay

  4. Importance of Technology Essay

    impact of digital technology on society essay

  5. Impact of Technology on Society ( Essay Writing 800 Words )

    impact of digital technology on society essay

  6. The Impact Of Technology On Society Essay Examples

    impact of digital technology on society essay

VIDEO

  1. Essay on technology:The digital life

  2. #WorldPressFreedomDay 2022 Webinar: Journalism under Digital Siege in Thailand

  3. Impact of ICT in the Society

  4. Technology Essay in English For Students|ESSAY ON TECHNOLOGY IN 250 WORDS #Technology#tech#techno

  5. Impact Of Information Technology on Society

  6. The Impact of Technology on Communication in Today's Society Essay

COMMENTS

  1. The Impact of Digital Technology on Society and Economic Growth

    An important component of a disruptive technology is that it must first be widely adopted before society adapts to it. Electricity delivery depended on generators. The current technological revolution depends on computers, the technical backbone of the Internet, search engines, and digital platforms.

  2. The Impact of Digital Technologies

    The Impact of Digital Technologies. Technologies can help make our world fairer, more peaceful, and more just. Digital advances can support and accelerate achievement of each of the 17 Sustainable ...

  3. How Is Technology Changing the World, and How Should the World Change

    It can help overcome some of the greatest challenges our society faces, including climate change, famine, and disease. For those who believe in the power of innovation and the promise of creative destruction to advance economic development and lead to better quality of life, technology is a vital economic driver (Schumpeter 1942). But it can ...

  4. How Does Technology Affect Our Daily Lives? Essay

    Technology affects our daily lives in various ways, from how we communicate, work, learn, entertain, and even think. In this essay, you will find out how technology has changed our society, both positively and negatively, and what challenges we face in the digital era. Read on to discover the impact of technology on our daily lives and how we can cope with it.

  5. Full article: Digital technology and social change: the digital

    The most recent period of this ancient and incessant logic of societal transformation was given many names between the 1970s and the year 2000, among them (in chronological order) post-industrial society, Citation 24 information economy, Citation 25 information society, Citation 26 fifth Kondratieff, Citation 19 information technology ...

  6. Impact of Technology on Society Essay (Critical Writing)

    Technology has many evident benefits and society has unquestioningly embraced it. Postman's intellectual target which is to illustrate how technopoly redefines culture is illustrated in his book, "Technopoly: The surrender of Culture to Technology" Therefore, this essay presents a critical analysis on the impact of technology on society through Postman's eye.

  7. Impact of the Digital Society

    For some business, the impact of digital economy is revolutionary. That is, some frequent changes in technologies and markets and the appearance of the business models can introduce radical changes in industry structure according to research. And the nature of competition can shift rapidly. The digital economy has not changed the core business ...

  8. The Internet and the Pandemic

    Pew Research Center has a long history of studying technology adoption trends and the impact of digital technology on society. This report focuses on American adults' experiences with and attitudes about their internet and technology use during the COVID-19 outbreak. For this analysis, we surveyed 4,623 U.S. adults from April 12-18, 2021.

  9. Growing up in a digital world: benefits and risks

    Digital technologies have profoundly changed childhood and adolescence. The internet and the means to access it, such as tablets and smartphones, along with social media platforms and messaging apps, have become integral to the lives of youth around the world. They have transformed their education and learning, the way they make and maintain friendships, how they spend their leisure time, and ...

  10. PDF The Impact of Digital Technology on Learning: A Summary for the ...

    A similar relationship between length of treatment and study outcome has been reported in previous meta-analyses. Kulik et al. (1983), for example, reported an effect size of 0.56 for 4 weeks or less, 0.30 for 5-8 weeks, and 0.20 for more than 8 weeks.

  11. (PDF) The impact of Digital technology on human societies: a focus on

    The impact of Digital technology on human societies: a focus on Computers and Internet , and how this technology facilitates Globalization. March 2021 DOI: 10.13140/RG.2.2.30633.31845

  12. The Digital Revolution: How Technology is Changing the Way We

    By navigating the digital landscape with mindfulness and intentionality, we can harness the transformative power of technology while preserving and nurturing the essential elements of human connection. Moving forward, it is crucial to consider the impact of technology on our relationships, mental well-being, and society.

  13. The Impact of Technology on Modern Society: A Comprehensive ...

    In conclusion, technology has become an indispensable part of modern life, influencing every aspect of society. Its impact spans from communication and economy to education, healthcare, and social ...

  14. Impacts of digital technologies on education and factors influencing

    The non-systematic literature review presented herein covers the main theories and research published over the past 17 years on the topic. It is based on meta-analyses and review papers found in scholarly, peer-reviewed content databases and other key studies and reports related to the concepts studied (e.g., digitalization, digital capacity) from professional and international bodies (e.g ...

  15. Essay on Digital Technology

    Students are often asked to write an essay on Digital Technology in their schools and colleges. And if you're also looking for the same, we have created 100-word, 250-word, and 500-word essays on the topic. ... The impact of digital technology on society is significant. It has democratized information, breaking down geographical and socio ...

  16. Digital Technology in Modern Society

    This essay focuses on the impact of digital technology on our culture with special emphasis on how youths have been affected by various aspects of digital technology. To achieve this objective, views from three authors have been considered through comparative analysis. These authors are: Charles McGrath, Lakshmi Chaundhry and Will Wright.

  17. 8 ways technology will impact our lives in the future

    Industrial applications will particularly benefit due to their larger capacity. "In the meanwhile, people will get used to better connections, higher speeds, and lower latency for their regular devices as well," he adds, before warning: "It's going to cost a lot of money.". 5. ChatGPT-like tech will become the norm.

  18. Going digital: how technology use may influence human brains and

    In a synopsis of 10 articles we present ample evidence that the use of digital technology may influence human brains and behavior in both negative and positive ways. For instance, brain imaging techniques show concrete morphological alterations in early childhood and during adolescence that are associated with intensive digital media use.

  19. The Impact Of Digital Technology On Society

    Technology is a part of anything and everything and the thought of no technology would be considered the apocalypse. Two women, Jane McGonigal, a video game designer, and Sherry Turkle, a technology professor at MIT, both have their own perspectives on technology and how it impacts emotions. McGonigal's main focus is how video games can be ...

  20. Essay on Impact of Technology on Society

    In the realm of communication, digital platforms have bridged geographical gaps, fostering global connectivity and collaboration. In education, e-learning tools have democratized access to knowledge, enabling lifelong learning irrespective of location or socio-economic background. ... 500 Words Essay on Impact of Technology on Society Introduction.

  21. What Makes Technology Good or Bad for Us?

    A quick glance at the research on technology-mediated interaction reveals an ambivalent literature. Some studies show that time spent socializing online can decrease loneliness, increase well-being, and help the socially anxious learn how to connect to others. Other studies suggest that time spent socializing online can cause loneliness ...

  22. Bridging The Digital Gap: Tech's Role In Social Responsibility

    In todays landscape, technology is making a huge impact and shaping the vision for 2024 which is becoming more human by design. As outlined in the Technology Vision 2024 report, the convergence of ...

  23. Impacts of digital technologies on education and factors influencing

    The impact of digital technology on learning: A summary for the education endowment foundation. Education Endowment Foundation and Durham University; 2012. [Google Scholar] Higgins, K., Huscroft-D'Angelo, J., & Crawford, L. (2019). Effects of technology in mathematics on achievement, motivation, and attitude: A meta-analysis.

  24. Essay on Impact of Technology on Society

    Effect of Technology on Modern Society Essay. The evolution of technology has changed society in both positive and negative ways. People all over the world use and benefit from modern technology. Technology has simplified the access to many tools people need in education, medicine, communication, transportation, etc.