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:en
en
Published: 2007
Subjects:
Online Access:https://etd.uum.edu.my/39/1/sri_banu.pdf
https://etd.uum.edu.my/39/2/sri_banu.pdf
https://etd.uum.edu.my/39/
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author Sri Banu, Munisamy
author_facet Sri Banu, Munisamy
author_sort Sri Banu, Munisamy
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
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
id my.uum.etd-39
institution Universiti Utara Malaysia
language en
en
publishDate 2007
record_format eprints
spelling my.uum.etd-392013-07-24T12:05:24Z https://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 https://etd.uum.edu.my/39/1/sri_banu.pdf application/pdf en https://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.
spellingShingle QA76 Computer software
Sri Banu, Munisamy
Visualizing Student Performances Using Data Mining Techniques.
title 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_short Visualizing Student Performances Using Data Mining Techniques.
title_sort visualizing student performances using data mining techniques.
topic QA76 Computer software
url https://etd.uum.edu.my/39/1/sri_banu.pdf
https://etd.uum.edu.my/39/2/sri_banu.pdf
https://etd.uum.edu.my/39/
url_provider http://etd.uum.edu.my/