Mining Students' Performance in UPSR Using Statistics and Neural Networks

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 UPSR. The other related data such as family background and schooling i...

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Main Author:	Nor Fazida, Abd. Rahman
Format:	Thesis
Language:	eng eng
Published:	2008
Subjects:	QA273-280 Probabilities Mathematical statistics
Online Access:	https://etd.uum.edu.my/834/1/Nor_Fazida_Abd._Rahman.pdf https://etd.uum.edu.my/834/2/Nor_Fazida_Abd._Rahman.pdf
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id	my-uum-etd.834
record_format	uketd_dc
spelling	my-uum-etd.8342024-02-29T06:49:49Z Mining Students' Performance in UPSR Using Statistics and Neural Networks 2008-05 Nor Fazida, Abd. Rahman College of Arts and Sciences (CAS) College of Arts and Sciences QA273-280 Probabilities. Mathematical statistics 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 UPSR. 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. Five models are constructed based on five 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 performance model obtained in this study uses parameters such as; learning rate 0.1, momentum rate 0.1, Sigmoid activation function, 100 epoch learning stopping criteria with its architecture, 13 inputs unit, 2 hidden units and 5 output units. The result indicates that Neural Networks has high potential to be used in predicting students' performance. 2008-05 Thesis https://etd.uum.edu.my/834/ https://etd.uum.edu.my/834/1/Nor_Fazida_Abd._Rahman.pdf text eng public https://etd.uum.edu.my/834/2/Nor_Fazida_Abd._Rahman.pdf text eng public masters masters Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
topic	QA273-280 Probabilities Mathematical statistics
spellingShingle	QA273-280 Probabilities Mathematical statistics Nor Fazida, Abd. Rahman Mining Students' Performance in UPSR Using Statistics and Neural Networks
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 UPSR. 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. Five models are constructed based on five 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 performance model obtained in this study uses parameters such as; learning rate 0.1, momentum rate 0.1, Sigmoid activation function, 100 epoch learning stopping criteria with its architecture, 13 inputs unit, 2 hidden units and 5 output units. 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	Nor Fazida, Abd. Rahman
author_facet	Nor Fazida, Abd. Rahman
author_sort	Nor Fazida, Abd. Rahman
title	Mining Students' Performance in UPSR Using Statistics and Neural Networks
title_short	Mining Students' Performance in UPSR Using Statistics and Neural Networks
title_full	Mining Students' Performance in UPSR Using Statistics and Neural Networks
title_fullStr	Mining Students' Performance in UPSR Using Statistics and Neural Networks
title_full_unstemmed	Mining Students' Performance in UPSR Using Statistics and Neural Networks
title_sort	mining students' performance in upsr using statistics and neural networks
granting_institution	Universiti Utara Malaysia
granting_department	College of Arts and Sciences (CAS)
publishDate	2008
url	https://etd.uum.edu.my/834/1/Nor_Fazida_Abd._Rahman.pdf https://etd.uum.edu.my/834/2/Nor_Fazida_Abd._Rahman.pdf
_version_	1794023729751130112

Mining Students' Performance in UPSR Using Statistics and Neural Networks

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