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dc.contributor.author Arachchi, DDMM
dc.contributor.editor Perera, I
dc.contributor.editor Meedeniya, D
dc.date.accessioned 2022-12-09T08:22:00Z
dc.date.available 2022-12-09T08:22:00Z
dc.date.issued 2016-12
dc.identifier.citation ****** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/19728
dc.description.abstract Making decisions by analyzing data is very common in all aspects. Similarly, in universities also, students and lecturers want to analyze results and track performance. Accomplishing this task manually will be very cumbersome, time consuming and error prone. The most feasible solution would be a software system that includes functionalities to overcome those problems. As web based applications are more trending, the applicability of the solution will increase if it is also a web based solution. Therefore, this paper introduces a web based software application that can achieve those goals reliably and efficiently. The system analyzes, compares and predicts student’s grades and manages results and modules. The application was implemented using JavaScript with backend implementation using Java, while adhering to the Spring Web MVC framework. The system provides meaningful and informative reports to the students and the lecturers. In addition, it provides easy and user friendly interfaces for the lecturers to achieve the goal of managing results and modules. en_US
dc.language.iso en en_US
dc.publisher Department of Computer Science and Engineering, University of Moratuwa. en_US
dc.subject Student grade performance analyzer en_US
dc.subject Correlation en_US
dc.subject Predict results en_US
dc.title Xpernal 1.0 – student grade performance analyzer en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Computer Science and Engineering en_US
dc.identifier.year 2016 en_US
dc.identifier.conference CSE Symposium 2016 en_US
dc.identifier.place Moratuwa, Sri Lanka. en_US
dc.identifier.pgnos pp. 25-30 en_US
dc.identifier.proceeding Proceedings of the CSE Symposium 2016 en_US
dc.identifier.email dilinimma.12@cse.mrt.ac.lk en_US


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