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A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS

Structured examination systems are used by educational institutions all around the world to assess the performance of students at a given point in their study. Public exam systems which are a type of structured examination systems are implemented nationwide at institutions in nations that place a...

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Main Author: DELLON, NELSON BRUNNIE
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2023
Subjects:
QA76 Computer software
Online Access:http://ir.unimas.my/id/eprint/44133/5/DELLON%20%20ft.pdf
http://ir.unimas.my/id/eprint/44133/
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spelling my.unimas.ir-441332025-02-17T02:35:16Z http://ir.unimas.my/id/eprint/44133/ A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS DELLON, NELSON BRUNNIE QA76 Computer software Structured examination systems are used by educational institutions all around the world to assess the performance of students at a given point in their study. Public exam systems which are a type of structured examination systems are implemented nationwide at institutions in nations that place a high value on education. The government of Malaysia had imposed this system on elementary students with their Ujian Penilaian Sekolah Rendah and secondary students with their Sijil Pelajaran Malaysia and Pentaksiran Tingkatan 3. There are several methods already in place that Kementerian Pelajaran Malaysia(KPM) offers. All of these technologies were created by developers to guarantee the efficiency of the teaching process for pupils. In addition to digitalizing the educational system, these systems will aid instructors in their day-to-day instruction. However, there is no limited mechanism in place to help teachers anticipate and correctly forecast the outcomes of their students' tests. Both students and teachers will be substantially better prepared for the forthcoming exam if a system exists that can reliably anticipate a student's mark in their future exams, particularly public exams. The goal of this study is to properly anticipate students' impending grades. Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. The machine learning algorithms that will be used and compared are Support Vector Machines (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), and Linear Regression (LR). All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms. Universiti Malaysia Sarawak, (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/44133/5/DELLON%20%20ft.pdf DELLON, NELSON BRUNNIE (2023) A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS. [Final Year Project Report] (Unpublished)
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
DELLON, NELSON BRUNNIE
A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
description Structured examination systems are used by educational institutions all around the world to assess the performance of students at a given point in their study. Public exam systems which are a type of structured examination systems are implemented nationwide at institutions in nations that place a high value on education. The government of Malaysia had imposed this system on elementary students with their Ujian Penilaian Sekolah Rendah and secondary students with their Sijil Pelajaran Malaysia and Pentaksiran Tingkatan 3. There are several methods already in place that Kementerian Pelajaran Malaysia(KPM) offers. All of these technologies were created by developers to guarantee the efficiency of the teaching process for pupils. In addition to digitalizing the educational system, these systems will aid instructors in their day-to-day instruction. However, there is no limited mechanism in place to help teachers anticipate and correctly forecast the outcomes of their students' tests. Both students and teachers will be substantially better prepared for the forthcoming exam if a system exists that can reliably anticipate a student's mark in their future exams, particularly public exams. The goal of this study is to properly anticipate students' impending grades. Teachers will be able to precisely forecast their students' impending grades utilizing the system's web-based application integration and machine learning algorithms. The machine learning algorithms that will be used and compared are Support Vector Machines (SVM), Random Forest (RF), K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), and Linear Regression (LR). All of these algorithms will be cross validate using Mean Absolute Error (MAE) in order to compare all of the accuracies of the algorithms.
format Final Year Project Report
author DELLON, NELSON BRUNNIE
author_facet DELLON, NELSON BRUNNIE
author_sort DELLON, NELSON BRUNNIE
title A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
title_short A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
title_full A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
title_fullStr A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
title_full_unstemmed A WEB-BASED SYSTEM FOR THE PREDICTION OF STUDENT PERFORMANCE IN UPCOMING PUBLIC EXAMS BASED ON ACADEMIC RECORDS
title_sort web-based system for the prediction of student performance in upcoming public exams based on academic records
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2023
url http://ir.unimas.my/id/eprint/44133/5/DELLON%20%20ft.pdf
http://ir.unimas.my/id/eprint/44133/
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score 13.239859

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