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Prediction of students academic achievement in UniMAP using data mining approach

Master of Science in Engineering Mathematics

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Bibliographic Details
Main Author: Fatihah, Aziz
Other Authors: Abdul Wahab, Jusoh, Assoc. Prof. Dr.
Format: Thesis
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2016
Subjects:
Data mining
Educational Data Mining (EDM)
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77203
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spelling my.unimap-772032022-11-25T01:24:39Z Prediction of students academic achievement in UniMAP using data mining approach Fatihah, Aziz Abdul Wahab, Jusoh, Assoc. Prof. Dr. Data mining Educational Data Mining (EDM) Master of Science in Engineering Mathematics The main objective of this research is to predict the academic achievement of the students in UniMAP who will be succeed, will be continued their study in higher level and also students whose need help in their study. Besides that, the specific objectives of this research are to identify the factors which influence the academic achievement of the students, to develop the decision tree model for prediction of the academic achievement of the students and lastly, to evaluate the performance of the decision tree model. Our research methodology started with the collection of students’ data from UniMAP since 2002 until 2012. Then, continued with the implementation of the decision tree model by using the C4.5 algorithm to develop the model for predicting the students’ academic achievement in UniMAP. C4.5 algorithm is a successor of ID3 algorithm which had been invented by J.R Quilan in 1986. In this research, JMP Pro 11 software has been used in developed the decision tree model. In addition, the finding of this research stated that there were five factor variables had influenced the academic achievement of the students in UniMAP. The factor variables were gender, age, entry qualification, entry CGPA and results from semester 1 and 2. The response variable was the result of graduate students. Moreover, from the result of the decision tree, the knowledge representation has been interpreted into decision rules using IF-THEN rules. From the predictive model, there were 25 decision rules which had interpreted. Later, the rules had been implemented into a simple academic prediction system for the students in UniMAP. This simple prediction system could help new students to predict their final result in the earlier semester. Some of the significant finding from this research, found that students who in between 24 to 30 years old had graduated with excellent result than younger and older adult learners. Female students from this university had graduated with more excellent result than the male students. Lastly, the finding of this research found that students who entry the university with the Matriculation qualification graduated with more excellent result than Diploma and STPM. 2016 2022-11-25T01:22:28Z 2022-11-25T01:22:28Z Thesis http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77203 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) Institute of Engineering Mathematics
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Data mining
Educational Data Mining (EDM)
spellingShingle Data mining
Educational Data Mining (EDM)
Fatihah, Aziz
Prediction of students academic achievement in UniMAP using data mining approach
description Master of Science in Engineering Mathematics
author2 Abdul Wahab, Jusoh, Assoc. Prof. Dr.
author_facet Abdul Wahab, Jusoh, Assoc. Prof. Dr.
Fatihah, Aziz
format Thesis
author Fatihah, Aziz
author_sort Fatihah, Aziz
title Prediction of students academic achievement in UniMAP using data mining approach
title_short Prediction of students academic achievement in UniMAP using data mining approach
title_full Prediction of students academic achievement in UniMAP using data mining approach
title_fullStr Prediction of students academic achievement in UniMAP using data mining approach
title_full_unstemmed Prediction of students academic achievement in UniMAP using data mining approach
title_sort prediction of students academic achievement in unimap using data mining approach
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2016
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/77203
_version_ 1753972994369126400
score 13.214268

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