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Visualizing Student Performances Using Data Mining Techniques.

Sri Banu, Munisamy (2007) Visualizing Student Performances Using Data Mining Techniques. Masters thesis, Universiti Utara Malaysia.

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Abstract

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.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Student Performances, Student Evaluation, Education, Educational Organization, Academic
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty and School System > Sekolah Siswazah
Depositing User: Mr Husni Ismail
Date Deposited: 01 Apr 2009 01:21
Last Modified: 24 Jul 2013 12:05
URI: http://etd.uum.edu.my/id/eprint/39

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