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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM58835
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The increasing need to have scalable and efficient methods of assessments has increased the use of digital examination systems within learning institutions. Paper based examinations take up a lot of manual work, take a long time to process, and cannot accommodate large numbers of candidates which normally impacts their accuracy and performance. To overcome these constraints, an online exam platform that is web-based is put forward, and it allows assessment of student performance in real-time as well as in a secure and automated manner. The proposed system is also built on Java Server Pages (JSP) and Servlets with the MySQL as the back-end database to handle the users, tests, questions and results. Role-based access system is used to provide administrators, instructors and students with access control and system orderly operation. Administrations are able to generate and control exams and learners are in a position to undertake exams within a stipulated period and get results with immediate feedback after submitting their tests. The process of evaluation becomes automated by use of a rule-based algorithm that makes the process consistent and removes manual errors. The platform focuses on reliability, effective data management, and easy interaction with the system in terms of modular architecture. The experimental validation reveals that the system is efficient in the cases of the normal usage conditions, which have a low response time and correct results generation. The suggested solution will help lessen the administrative load and improve the general examination process because it offers a flexible and scalable assessment environment. The future improvements can be based on the inclusion of more advanced analytics, better security, and the possibility of adaptive testing.
KEYWORDS
Publication Date
2/3/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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