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Visualizing Student Performances Using Data Mining Techniques.

The goal of this qualitative paper is to conduct a study to visualize the student performances where the input data is the student's result and the output of the information retrieved is displayed in a graphical representation. The study focuses on identifying the factors that influence the st...

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Main Author: Sri Banu, Munisamy
Format: Thesis
Language:English
English
Published: 2007
Subjects:
QA76 Computer software
Online Access:http://etd.uum.edu.my/39/1/sri_banu.pdf
http://etd.uum.edu.my/39/2/sri_banu.pdf
http://etd.uum.edu.my/39/
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spelling my.uum.etd.392013-07-24T12:05:24Z http://etd.uum.edu.my/39/ Visualizing Student Performances Using Data Mining Techniques. Sri Banu, Munisamy QA76 Computer software The goal of this qualitative paper is to conduct a study to visualize the student performances where the input data is the student's result and the output of the information retrieved is displayed in a graphical representation. The study focuses on identifying the factors that influence the student performances as well as visualizing the result for management's convenience. The approach that has been used to categorize the influencing variables is factor analysis. The analysis and visualization has been done using SPSS. Result of the analysis shows that student attitude and lecturer's background are the two factors most important factor known to influence students' performances. 2007 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/39/1/sri_banu.pdf application/pdf en http://etd.uum.edu.my/39/2/sri_banu.pdf Sri Banu, Munisamy (2007) Visualizing Student Performances Using Data Mining Techniques. 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 QA76 Computer software
spellingShingle QA76 Computer software
Sri Banu, Munisamy
Visualizing Student Performances Using Data Mining Techniques.
description The goal of this qualitative paper is to conduct a study to visualize the student performances where the input data is the student's result and the output of the information retrieved is displayed in a graphical representation. The study focuses on identifying the factors that influence the student performances as well as visualizing the result for management's convenience. The approach that has been used to categorize the influencing variables is factor analysis. The analysis and visualization has been done using SPSS. Result of the analysis shows that student attitude and lecturer's background are the two factors most important factor known to influence students' performances.
format Thesis
author Sri Banu, Munisamy
author_facet Sri Banu, Munisamy
author_sort Sri Banu, Munisamy
title Visualizing Student Performances Using Data Mining Techniques.
title_short Visualizing Student Performances Using Data Mining Techniques.
title_full Visualizing Student Performances Using Data Mining Techniques.
title_fullStr Visualizing Student Performances Using Data Mining Techniques.
title_full_unstemmed Visualizing Student Performances Using Data Mining Techniques.
title_sort visualizing student performances using data mining techniques.
publishDate 2007
url http://etd.uum.edu.my/39/1/sri_banu.pdf
http://etd.uum.edu.my/39/2/sri_banu.pdf
http://etd.uum.edu.my/39/
_version_ 1644276062526373888
score 13.209306

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