Modeling Primary School Student Academic Performance Using Data Mining Technique

Every time when an examination comes, the first issue discussed by all parties is student performance. That scenario describes the importance of the student performance during the examination for student. Primary school student performances have long time focused by the Ministry of Education. Thus,...

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Main Author:	Muhamad, Mat Yaacub
Format:	Thesis
Language:	eng eng
Published:	2011
Subjects:	QA76 Computer software
Online Access:	https://etd.uum.edu.my/2581/1/Muhamad_Mat_Yaacub.pdf https://etd.uum.edu.my/2581/2/1.Muhamad_Mat_Yaacub.pdf
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id	my-uum-etd.2581
record_format	uketd_dc
spelling	my-uum-etd.25812016-04-27T06:56:42Z Modeling Primary School Student Academic Performance Using Data Mining Technique 2011 Muhamad, Mat Yaacub Mohamad Mohsen, Mohamad Farhan College of Arts and Sciences (CAS) College of Arts and Sciences QA76 Computer software Every time when an examination comes, the first issue discussed by all parties is student performance. That scenario describes the importance of the student performance during the examination for student. Primary school student performances have long time focused by the Ministry of Education. Thus, the primary school academic performance becomes a problem that must be solved by teachers and school administrations. They responsible to improve the students' performance from time to time for every examination held. Thus, the aim of this study is to develop a model for primary school student academic performance using data mining technique. To achieve this, a student academic profile from Sekolah Kebangsaan Kuala Teriang, Langkawi was chosen as a case study. The dataset that consist of 393 records represent the academic performance of student from standard 4 to 6 in the year 2010. The dataset consists of 6 attributes that are gender and 5 core subjects namely Pemahaman, Penulisan, Sciences, English and Mathematics which were then grouped into excellent, fair and weak group and was mined using association rules technique based on Apriori algorithm to find interesting rules which can influence student academic performance. The finding indicates that the combination attributes of Pemahaman = A, Penulisan = A, Sciences = A, English = A and Mathematics = A or B is for excellent group. The combination attributes of Pemahaman = A or B, Penulisan = A or B, Sciences = B or C, English = B and Mathematics = C or D is for fair group and the combination attributes of Pemahaman = B or C or D, Penulisan = C or D, Sciences = C or D, English = C or D or E and Mathematics = D or E is for weak group. From the finding, a prototype of the primary school academic performance was developed to help the teachers and school administration identify their student academic performance status which involves excellent, fair and weak groups. 2011 Thesis https://etd.uum.edu.my/2581/ https://etd.uum.edu.my/2581/1/Muhamad_Mat_Yaacub.pdf application/pdf eng validuser https://etd.uum.edu.my/2581/2/1.Muhamad_Mat_Yaacub.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Mohamad Mohsen, Mohamad Farhan
topic	QA76 Computer software
spellingShingle	QA76 Computer software Muhamad, Mat Yaacub Modeling Primary School Student Academic Performance Using Data Mining Technique
description	Every time when an examination comes, the first issue discussed by all parties is student performance. That scenario describes the importance of the student performance during the examination for student. Primary school student performances have long time focused by the Ministry of Education. Thus, the primary school academic performance becomes a problem that must be solved by teachers and school administrations. They responsible to improve the students' performance from time to time for every examination held. Thus, the aim of this study is to develop a model for primary school student academic performance using data mining technique. To achieve this, a student academic profile from Sekolah Kebangsaan Kuala Teriang, Langkawi was chosen as a case study. The dataset that consist of 393 records represent the academic performance of student from standard 4 to 6 in the year 2010. The dataset consists of 6 attributes that are gender and 5 core subjects namely Pemahaman, Penulisan, Sciences, English and Mathematics which were then grouped into excellent, fair and weak group and was mined using association rules technique based on Apriori algorithm to find interesting rules which can influence student academic performance. The finding indicates that the combination attributes of Pemahaman = A, Penulisan = A, Sciences = A, English = A and Mathematics = A or B is for excellent group. The combination attributes of Pemahaman = A or B, Penulisan = A or B, Sciences = B or C, English = B and Mathematics = C or D is for fair group and the combination attributes of Pemahaman = B or C or D, Penulisan = C or D, Sciences = C or D, English = C or D or E and Mathematics = D or E is for weak group. From the finding, a prototype of the primary school academic performance was developed to help the teachers and school administration identify their student academic performance status which involves excellent, fair and weak groups.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Muhamad, Mat Yaacub
author_facet	Muhamad, Mat Yaacub
author_sort	Muhamad, Mat Yaacub
title	Modeling Primary School Student Academic Performance Using Data Mining Technique
title_short	Modeling Primary School Student Academic Performance Using Data Mining Technique
title_full	Modeling Primary School Student Academic Performance Using Data Mining Technique
title_fullStr	Modeling Primary School Student Academic Performance Using Data Mining Technique
title_full_unstemmed	Modeling Primary School Student Academic Performance Using Data Mining Technique
title_sort	modeling primary school student academic performance using data mining technique
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2011
url	https://etd.uum.edu.my/2581/1/Muhamad_Mat_Yaacub.pdf https://etd.uum.edu.my/2581/2/1.Muhamad_Mat_Yaacub.pdf
_version_	1747827379875610624

Modeling Primary School Student Academic Performance Using Data Mining Technique

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