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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:English
English
Published: 2009
Subjects:
QA Mathematics
Online Access:http://etd.uum.edu.my/2082/1/Mohamed_Ridzuan_Abdul_Latif.pdf
http://etd.uum.edu.my/2082/2/1.Mohamed_Ridzuan_Abdul_Latif.pdf
http://etd.uum.edu.my/2082/
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spelling my.uum.etd.20822013-07-24T12:14:19Z http://etd.uum.edu.my/2082/ Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject Mohamed Ridzuan, Abdul Latiff 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 NonPeerReviewed application/pdf en http://etd.uum.edu.my/2082/1/Mohamed_Ridzuan_Abdul_Latif.pdf application/pdf en http://etd.uum.edu.my/2082/2/1.Mohamed_Ridzuan_Abdul_Latif.pdf Mohamed Ridzuan, Abdul Latiff (2009) Mining Student's Performance in SPM Using Statistics and Neural Networks for Technical Subject. Masters thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
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
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
publishDate 2009
url http://etd.uum.edu.my/2082/1/Mohamed_Ridzuan_Abdul_Latif.pdf
http://etd.uum.edu.my/2082/2/1.Mohamed_Ridzuan_Abdul_Latif.pdf
http://etd.uum.edu.my/2082/
_version_ 1644276586244997120
score 13.211869

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