Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject

Academic performance has become an important evidence of determining the quality in Malaysia's education system. The examination data is collected on the previous students' examinations yet to be tested for their coming SPM. The other related data such as family background and schooling in...

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Main Author:	Mohamed Ridzuan, Abdul Latiff
Format:	Thesis
Language:	eng eng
Published:	2009
Subjects:	QA Mathematics
Online Access:	https://etd.uum.edu.my/2082/1/Mohamed_Ridzuan_Abdul_Latif.pdf https://etd.uum.edu.my/2082/2/1.Mohamed_Ridzuan_Abdul_Latif.pdf
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id	my-uum-etd.2082
record_format	uketd_dc
spelling	my-uum-etd.20822013-07-24T12:14:19Z Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject 2009-11 Mohamed Ridzuan, Abdul Latiff Siraj, Fadzilah College of Arts and Sciences (CAS) College of Arts and Sciences QA Mathematics Academic performance has become an important evidence of determining the quality in Malaysia's education system. The examination data is collected on the previous students' examinations yet to be tested for their coming SPM. The other related data such as family background and schooling information are also involved. The raw data is preprocessed and analyzed using statistical method. The results from the statistical analysis indicate the significant contribution of these attributes to the achievement model. The combinations of input variables, hidden layer and output nodes are explored to predict the students' performance. Seven models are constructed based on seven subjects to relate them with other factors for the purpose of descriptive analysis. The relationship between examination results and other factors are investigated thoroughly to enhance the prediction model. The result indicates that Neural Networks has high potential to be used in predicting students' performance. 2009-11 Thesis https://etd.uum.edu.my/2082/ https://etd.uum.edu.my/2082/1/Mohamed_Ridzuan_Abdul_Latif.pdf application/pdf eng validuser https://etd.uum.edu.my/2082/2/1.Mohamed_Ridzuan_Abdul_Latif.pdf application/pdf eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Siraj, Fadzilah
topic	QA Mathematics
spellingShingle	QA Mathematics Mohamed Ridzuan, Abdul Latiff Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject
description	Academic performance has become an important evidence of determining the quality in Malaysia's education system. The examination data is collected on the previous students' examinations yet to be tested for their coming SPM. The other related data such as family background and schooling information are also involved. The raw data is preprocessed and analyzed using statistical method. The results from the statistical analysis indicate the significant contribution of these attributes to the achievement model. The combinations of input variables, hidden layer and output nodes are explored to predict the students' performance. Seven models are constructed based on seven subjects to relate them with other factors for the purpose of descriptive analysis. The relationship between examination results and other factors are investigated thoroughly to enhance the prediction model. The result indicates that Neural Networks has high potential to be used in predicting students' performance.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Mohamed Ridzuan, Abdul Latiff
author_facet	Mohamed Ridzuan, Abdul Latiff
author_sort	Mohamed Ridzuan, Abdul Latiff
title	Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject
title_short	Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject
title_full	Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject
title_fullStr	Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject
title_full_unstemmed	Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject
title_sort	mining student's performance in spm using statistics and neural networks for technical subject
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2009
url	https://etd.uum.edu.my/2082/1/Mohamed_Ridzuan_Abdul_Latif.pdf https://etd.uum.edu.my/2082/2/1.Mohamed_Ridzuan_Abdul_Latif.pdf
_version_	1747827260413444096

Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject

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