Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser .
Enter the email address you signed up with and we'll email you a reset link.
- We're Hiring!
- Help Center
Design and implementation of an automated result processing system
ABSTRACT The conventional method of processing and accessing student result via a physical effort with the aid of conventional material like pen, pencil, book, ruler and so is cumbersome and very stressful. This project examined an automated student result processing system with respect to the different phases involved in the development of system today, such as system programming and design, program logic, change over style, documentation, and its significance over the manual system of result processing system. The automated student result processing system allow and ensure easy insertion and deletion of student record, and it also allow the user to add and update the record of student in any given semester after the conduction of their continuous assessment and examination in other to generate their Grade Point (GP) and Cumulative Grade Point (CGP) easily. The result processing is highly secured and protected from unauthorized users and this helps to reduce cases of missing student records. In this project work, the user must be given a password and access in which he/she will be the only one having access to every student record after the examination and test has being added together and submitted to him as result processing officer to generate the status and grade point or cumulative grade point of each student. The automated result processing systems enhance the reliability and convenience in computation of student score and generate their respective grade point in each course. The database contains the complete and comprehensive details of each student and their academic performance. This database keeps track of each student course like examination requirement and subject. The project work helps to overcome the problems associated with the manual method of result processing with the aid of the automated system.
Related Papers
AUTOMATED STUDENTS' RESULTS MANAGEMENT INFORMATION SYSTEM (SRMIS)
Paul Umoren
This project, Automated Students' Results Management Information System (SRMIS) was carried out to automate the manual processes of compiling Students Examination Results. It was necessitated because of some setbacks in manual result processing. The system was designed to automatically take raw scores from excel files and store them in a database. It used past processed results to help the next course registration prior to results upload. Its result processing features includes the computation of grade point average (GPA), generation of result reporting sheets and transcripts. Every session, it keeps track of student's status information as recorded in the student files, specifying if a student is legitimate. The database also holds the lists of admitted students each year and records their school fees payment status. The software engineering was done with the Incremental model using an object-oriented programming approach. Raw data input to the SRMIS is one of the most cumbersome tasks. A computerized input using file upload saves lecturers a lot of effort and time of data entry. This system uses the student's course registration data to match the uploaded results. The essence is to design an efficient computerized system that will replace manual result processing which is prone to lot of paper work and errors. This reduces the tedious tasks involved, and enhances students' performance through timely publication of results.
heba fadhil
The end-of-course marks assigned by lecturers are anticipated to express the level of accomplishment of each student in the class. These marks are used to make a mass of decisions. Unless an adequately accurate and efficient method is used for the grading, the grades are appropriate to convey misinformation . In itself, the handing out of results is found to be rather tedious, especially when carried out manually, and when the total number of students is large. It is time-consuming and errorprone. However, the process carried out with a computer running a suitable software application becomes a lot easier and much more accurate. A spontaneous and systematic one elucidation is essential for all universities and organizations. With that in mind, we overhauled the existing Student Database Management System and made necessary improvement to streamline the processes. In this paper, a computer software application was developed to facilitate the automated processing of the results. The s...
International journal of Advances in Engineering and Management (IJAEM)
The current method of student result assessing and processing with the aid of only Microsoft Excel Template is cumbersome, stressful and erroneous. This research studied the difficulties faced with the current result processing system and proposed an improved system using XAMP full stack. In the proposed system, two related software were designed, one to be used by course lecturer to enter students' score and generates students' grade. The other software would be used by the departmental exams officer (DEO) who is the Admin of the system to generate their Grade Point (GP), Cumulative Grade Point Average(CGPA) and Graduating Grade Point Average(CGPA) easily, the exams and record office would use it to generate Transcript. The advanced result processing and management system is highly secured and protected from unauthorized users and this helps to reduce cases of missing student records. It also enhances the reliability and convenience in computation of student score and generate their respective grade point in each course. The database contains the complete and comprehensive details of students and their academic performance. The advanced automated result processing and management system was designed using XAMP full stack where HTML, CSS and JavaScript were used for frontend while PHP and MySQL Database were used to design the students record database. IJSB
Texila International Journal , Iweriebor Elvis
Due to enormous problems associated with manual computation of students' result and transcript processing in university of Port Harcourt, there is need for efficient method with error free that will enable result to be processed automatically. This system will accept multiple inputs and aid course advisers carry out their responsibilities effectively. A result is an official report and record of student courses with grades. Students result is critical to their graduation. Currently, there is no reliable way to track incoming results. This creates problems for students and staff. Lost or misplaced result has unwanted consequences and delay graduation. In this work, a computer software application was developed to facilitate the automated processing of the results. The software was developed in Java programming language in the form of a database, employing PostgreSQL Relational Database Management System. The developed software performed well and produced expected results on completion. With it, it was possible to compute Grade Point Average and Cumulative Grade Point Average for each student based on examination scores entered being the core idea behind the design.
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
IJRASET Publication
The purpose of Student Result Management System is to create a better method for storing the result of students in a computerized form so that the result can be stored for a longer period with easy accessing and manipulation of the same. The required hardware and software are easily accessible, and we can easily work with it. As mentioned above, the project can lead to error free, secure, reliable, and fast management system. Reporting of results of college student will be more proper. I.
International Journal of Innovative Research in Technology
Seemant Tripathi
Peter O Oluokun , OLUOKUN PETER OLUWASHEYI
This research project examined the inadequacies involved in the manual method of compiling students’ result in secondary schools in Nigeria. The problems with the manual result processing were identified and a new system was proposed, designed, and implemented. In this work, a computer software application was developed to facilitate the automated processing of the results. The software was developed using PHP (Hypertext processor) programming language and MYSQL (My Structural Query Language), a relational database management system in designing the database; tested and found to have produced the expected results. Teachers do not need to draw vertical/horizontal lines on a broad sheet of paper for recording students test and exam scores, and also need not to do any form of calculations, as the system does virtually everything. The software will make the teacher’s job less stressful by cutting down the time and effort spent on result preparation, thereby, allowing the teacher more time for teaching and other instructional issues. This new system is flexible and can be modified to suit any kind of students’ record keeping and data processing in both public and private secondary schools. In the course of the study, an existing system was digested and its deficiencies were detected and emphatically analyzed, after which solutions to the problems were proffered in the new designed computerized system that is reliable and more interactive. The new system terminates all the problems experienced with the existing system. The case study of this research work is Mainstream Energy Solutions Limited (M.E.S.L) Secondary School, New Bussa, Niger State.
Julius Fasema
This system is based on designing and implementation of a Student Result Verification System (SRVS). It is intended for use in academic environment where students normally come for clearance before collection of their statement of result and subsequently for certificate collection. The findings revealed that students normally come for result clearance through their various departments, and their results are usually checked from the hard copy before issuers of clearance form, the same thing applicable on issuers of IT letter. Also, some of the students are given repeat, while some are withdrawn from the institutions because of poor academic performance. Mistakes occurred at time by the adm. Officers in the process of checking these result manually, to rectify this problem led to this research. The variables under consideration here are the students and of course the result sheet. Data were collected using document examination, interviews and through separate oral interview from different departments of the school using the simple random sampling technique. For design, top down design approach under agile software development of Software Development Life Circle were used. For the programming, Visual Basic 6.0 programming language was used and Microsoft Access for the result database management system. A computer system with basic system configurations is used for testing of the software. The student results of various departments were used for test-running the system to ascertain the efficiency and effectiveness of this research work. In conclusion, this software will help admin officers, the secretaries, the SIWES office, and even the school authorities to easily search for particular student information from the database during clearance.
Samiksha Nikam
Abstract- The result system tool is designed and developed for result sheet and mark sheet preparation with various report required at University level and College level. The system is useful for the exam department of the institute and college for handling various transactions of result preparation. System’s task starts with registration of student and selection of subject. After that examination forms are filled for respective semester. Next steps of marks entry and result calculation are carried out respectively. Performance of the tool is measured with the help of windows XP performance tool. The tool developed has better performance with good scalability and resource sharing. Designed tool is tested on standalone machine and it is user friendly.
RELATED PAPERS
Franklin Mixon
Rosanna Costaguta
Mwasambo Mwandawiro
Nucleic Acids Research
IEEE Transactions on Biomedical Engineering
G. Van Rhoon
Journal of Educational Psychology
Edward Deci
Religionsvidenskabeligt Tidsskrift
Peter Weiss Poulsen
Acta Arachnologica
Torbjörn Kronestedt
Journal of Biomedical Informatics
Recherches sociographiques
Sara Teinturier
Javad Aminian
Sirpa Kallio
Siti Maemun
Modeling Earth Systems and Environment
Musaab A . A . Mohammed
Arquivos de Neuro-Psiquiatria
Jurnal Kimia Khatulistiwa
nelly wahyuni
哥本哈根商学院毕业证书 CBS文凭证书
Archaeometry
fatima araujo
Proceedings of the Catholic Theological Society of America
John Renard
IEEE Transactions on Learning Technologies
Patrick Carmichael
International Journal of Advanced Health Science and Technology
Nabilla Azzahra
European Journal of Pain
Susan Girdler
European Journal of Public Health
Sirpa Heinävaara
Race Ethnicity and Education
Vonzell Agosto
RELATED TOPICS
- We're Hiring!
- Help Center
- Find new research papers in:
- Health Sciences
- Earth Sciences
- Cognitive Science
- Mathematics
- Computer Science
- Academia ©2024
A Systematic Literature Review of Natural Language Processing: Current State, Challenges and Risks
- Conference paper
- First Online: 31 October 2020
- Cite this conference paper
- Eghbal Ghazizadeh 17 &
- Pengxiang Zhu 17
Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1288))
Included in the following conference series:
- Proceedings of the Future Technologies Conference
2166 Accesses
5 Citations
In this research paper, a comprehensive literature review was undertaken in order to analyze Natural Language Processing (NLP) application based in different domains. Also, by conducting qualitative research, we will try to analyze the development of the current state and the challenge of NLP technology as a key for Artificial Intelligence (AI) technology, pointing out some of the limitations, risks and opportunities. In our research, we rely on primary data from applicable legislation and secondary public domain data sources providing related information from case studies. By studying the structure and content of the published literature, the NLP-based applications have been clearly classified into different fields which include natural language understanding, natural language generation, voice or speech recognition, machine translation, spell correction and grammar check. The development trend, open issues and limitations have also been analyzed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
- Available as PDF
- Read on any device
- Instant download
- Own it forever
- Available as EPUB and PDF
- Compact, lightweight edition
- Dispatched in 3 to 5 business days
- Free shipping worldwide - see info
Tax calculation will be finalised at checkout
Purchases are for personal use only
Institutional subscriptions
Cambria, E., White, B.: Jumping NLP curves: a review of natural language processing research. IEEE Comput. Intell. Mag. 9 (2), 48–57 (2014). https://doi.org/10.1109/mci.2014.2307227
Article Google Scholar
Young, T., Hazarika, D., Poria, S., Cambria, E.: Recent trends in deep learning based natural language processing. IEEE Comput. Intell. Mag. 13 (3), 55–75 (2018). https://doi.org/10.1109/mci.2018.2840738
Locke, J., Rowbottom, N., Troshani, I.: Sites of translation in digital reporting. Acc. Auditing Account. J. 31 (7), 2006–2030 (2018). https://doi.org/10.1108/aaaj-07-2017-3005
Wu, D., He, D.: Exploring the further integration of machine translation in English-Chinese cross language information access. Program 46 (4), 429–457 (2012). https://doi.org/10.1108/00330331211276495
Zhang, X., Meng, M., Sun, X., Bai, Y.: FactQA: question answering over domain knowledge graph based on two-level query expansion. Data Technol. Appl. 54 (1), 34–63 (2019). https://doi.org/10.1108/dta-02-2019-0029
Liu, D., Li, Y., Thomas, M.A.: A roadmap for natural language processing research in information systems. In: 2017 Proceedings of the 50th Hawaii International Conference on System Sciences (2017). https://doi.org/10.24251/hicss.2017.132
Dasgupta, S., Ng, V.: Mine the easy, classify the hard. In: Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009, vol. 2 (2009). https://doi.org/10.3115/1690219.1690244
Liu, Y., Zhang, M.: Neural network methods for natural language processing. Comput. Linguist. 44 (1), 193–195 (2018). https://doi.org/10.1162/coli_r_00312
Article MathSciNet Google Scholar
Mills, M.T., Bourbakis, N.G.: Graph-based methods for natural language processing and understanding—a survey and analysis. IEEE Trans. Syst. Man. Cybern.: Syst. 44 (1), 59–71 (2014). https://doi.org/10.1109/tsmcc.2012.2227472
Briner, R.B., Denyer, D.: Systematic review and evidence synthesis as a practice and scholarship tool. Oxford (2012). https://doi.org/10.1093/oxfordhb/9780199763986.013.0007
Moher, D.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann. Intern. Med. 151 (4), 264 (2009). https://doi.org/10.7326/0003-4819-151-4-200908180-00135
Gurbuz, O., Rabhi, F., Demirors, O.: Process ontology development using natural language processing: a multiple case study. Bus. Process Manag. J. 25 (6), 1208–1227 (2019). https://doi.org/10.1108/bpmj-05-2018-0144
Karimi, S., Scholer, F., Turpin, A.: Machine transliteration survey. ACM Comput. Surv. 43 (3), 1–46 (2011). https://doi.org/10.1145/1922649.1922654
Article MATH Google Scholar
Taskin, Z., Al, U.: Natural language processing applications in library and information science. Online Inf. Rev. 43 (4), 676–690 (2019). https://doi.org/10.1108/oir-07-2018-0217
Wahl, H., Winiwarter, W., Quirchmayr, G.: Towards an intelligent integrated language learning environment. Int. J. Pervasive Comput. Commun. 7 (3), 220–239 (2011). https://doi.org/10.1108/17427371111173013
Vlachidis, A., Tudhope, D.: Negation detection and word sense disambiguation in digital archaeology reports for the purposes of semantic annotation. Program 49 (2), 118–134 (2015). https://doi.org/10.1108/prog-10-2014-0076
Chen, X., Qiu, X., Zhu, C., Huang, X.: Gated recursive neural network for Chinese word segmentation. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) (2015). https://doi.org/10.3115/v1/p15-1168
Chen, J., Ding, R., Jiang, S., Knudson, R.: A preliminary evaluation of metadata records machine translation. Electron. Libr. 30 (2), 264–277 (2012). https://doi.org/10.1108/02640471211221377
Mukherjee, S., Bala, P.K.: Detecting sarcasm in customer tweets: an NLP based approach. Indu. Manag. Data Syst. 117 (6), 1109–1126 (2017). https://doi.org/10.1108/imds-06-2016-0207
Rodrigo, A., Penas, A.: On evaluating the contribution of validation for question answering. IEEE Trans. Knowl. Data Eng. 27 (4), 1157–1161 (2015). https://doi.org/10.1109/tkde.2014.2373363
Demirtas, K., Cicekli, N.K., Cicekli, I.: Automatic categorization and summarization of documentaries. J. Inf. Sci. 36 (6), 671–689 (2010). https://doi.org/10.1177/0165551510382070
Schubotz, M., Scharpf, P., Dudhat, K., Nagar, Y., Hamborg, F., Gipp, B.: Introducing MathQA: a math-aware question answering system. Inf. Discovery Deliv. 46 (4), 214–224 (2018). https://doi.org/10.1108/idd-06-2018-0022
Sun, S., Luo, C., Chen, J.: A review of natural language processing techniques for opinion mining systems. Inf. Fusion 36 , 10–25 (2017). https://doi.org/10.1016/j.inffus.2016.10.004
Download references
Author information
Authors and affiliations.
Whitireia Polytechnic, 450 Queen Street, Auckland, 1010, New Zealand
Eghbal Ghazizadeh & Pengxiang Zhu
You can also search for this author in PubMed Google Scholar
Corresponding author
Correspondence to Eghbal Ghazizadeh .
Editor information
Editors and affiliations.
Faculty of Science and Engineering, Saga University, Saga, Japan
The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK
Supriya Kapoor
Rahul Bhatia
Rights and permissions
Reprints and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper.
Ghazizadeh, E., Zhu, P. (2021). A Systematic Literature Review of Natural Language Processing: Current State, Challenges and Risks. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Proceedings of the Future Technologies Conference (FTC) 2020, Volume 1. FTC 2020. Advances in Intelligent Systems and Computing, vol 1288. Springer, Cham. https://doi.org/10.1007/978-3-030-63128-4_49
Download citation
DOI : https://doi.org/10.1007/978-3-030-63128-4_49
Published : 31 October 2020
Publisher Name : Springer, Cham
Print ISBN : 978-3-030-63127-7
Online ISBN : 978-3-030-63128-4
eBook Packages : Intelligent Technologies and Robotics Intelligent Technologies and Robotics (R0)
Share this paper
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
- Publish with us
Policies and ethics
- Find a journal
- Track your research
IMAGES
VIDEO
COMMENTS
The aim of this paper is to model the process of processing and m anaging students' result so. as to mitigate the challenges with the rigorous steps that exist in the existing manual method. The ...
test the developed result processing system. The rest of the paper is structured as follows; 2.0 provides a brief discourse on the motivation for the paper vis-à-vis a review of literature; and the summary of methodology and resultant design for the intended result processing system
CHAPTER TWO LITERATURE REVIEW According to Advanced Oxford Learners Dictionary "6th Edition" review a student result processing system as an act of analyzing an experiment, practical, and examination being carried out by a student, a statement of good outcome or average grade point to that examination or experiment. ...
This system helps educational institutions manage student data efficiently and minimize errors and redundancy. The system facilitates the automation of tasks such as scoring, reporting and transcript generation, which improves the accuracy and speed of processing results. The system is designed to store student records, including personal ...
(d) Design an integrated result processing and transcript generation system. 3. Literature Review There have been several studies on computerized result processing as well as transcript generation some of which are reviewed. Reference [2] designed an automated result processing system that will increase through put and reduce the response time ...
system, possible implementation of the models from the designs presented, and test the developed result processing system II. BRIEF LITERATURE REVIEW In recent years, post basic institutions have seen academic value of result processing and need for it to be done internally (Oyeyinka & Oladipo, 2015) [2]. Hence, a lot of documentation exists in ...
The system should also assess the completeness of the responses and provide feedback. Several studies examined AES systems, from the initial to the latest AES systems. In which the following studies on AES systems are Blood provided a literature review from PEG 1984-2010. Which has covered only generalized parts of AES systems like ethical ...
This study aims at designing a result processing system for Academic Institutions. The data used for the system testing were obtained from the semesters' results of ND and HND cadets in the departments of Nautical Science and Marine Engineering in Maritime Academy of Nigeria, Oron, Akwa Ibom State. Object oriented analysis and design ...
Literature review is an essential feature of academic research. Fundamentally, knowledge advancement must be built on prior existing work. To push the knowledge frontier, we must know where the frontier is. By reviewing relevant literature, we understand the breadth and depth of the existing body of work and identify gaps to explore.
The aim of the proposed system is to design and. implement computerized students' results processi ng and. management system (that can be m ana ged bo th offline and. online) using Php and M ySQLi ...
Writing a literature review requires a range of skills to gather, sort, evaluate and summarise peer-reviewed published data into a relevant and informative unbiased narrative. Digital access to research papers, academic texts, review articles, reference databases and public data sets are all sources of information that are available to enrich ...
1.1 Context Diagram of Student Result Management System. II. BACKGROUND STUDY/LITERATURE SURVEY Student performance management systems have been widely studied in the scientific literature, and many researchers have focused on the benefits, challenges, and implementation of these systems. In this literature review, I summarize some of the main ...
The Data Stream Processing (DSP) approach focuses on real-time data processing by applying specific techniques for capturing and processing relevant data for on-the-fly results, i.e. without necessarily requiring prior storage. Like in any other software, testing plays a vital role in the quality assurance of DSP applications.
This work, through a literature review, aims to clarify the RPA's concept, the benefits found in this adoption, the main characteristics that the processes must have to be eligible, and the main barriers encountered for successful RPA adoption. In short, this preliminary literature review aims to contribute to the organization's clarification ...
This paper presents the design and implementation of a system for semi-automating the literature review process based on machine learning. By using machine learning algorithms, the system determines whether scientific papers belong to the topic that is being explored as part of the review process. The system's user interface allows the process of creating a literature review to be managed ...
In this paper, an automated platform for managing result of all categories of students in a seamless and interactive manner is presented. The system was developed using PHP, CSS, HTML, MYSQL and ...
2. LITERATURE REVIEW According to E. O. Ukem et al. [1], backup procedures and audit logs may be used to strengthen outcome systems. Despite the fact that his solution was created with java and a MySQL database, it did not provide any evidence for processing results batched in files to improve data integrity and reduce fraud.
("systematic literature review" OR "systematic review") AND ("Automation") AND ("Data Mining" OR "Text Mining" OR "NLP"). 3.5 Criteria for Selection. Based on the research questions, we have defined for this SLR, and we formulated the inclusion and exclusion criteria to fine tune the results from the search process.
Liu & Zhang [] proposed that usually a linguist first writes a rule base, such as a dictionary, and then a technical expert builds an algorithm applied to explain and execute the rule library, as shown in Fig. 2.Specifically, the syntactic analyzer analyses the input sentence into a syntactic structure according to the set natural language grammar and then maps the grammatical symbol structure ...