The State of the Art on Educational Data Mining in Higher Education
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-31 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : Mohamed Osman Hegazi, Mazahir Abdelrhman Abugroon | ||
| DOI : 10.14445/22312803/IJCTT-V31P109 |
Mohamed Osman Hegazi, Mazahir Abdelrhman Abugroon "The State of the Art on Educational Data Mining in Higher Education". International Journal of Computer Trends and Technology (IJCTT) V31(1):46-56, January 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Educational data mining (EDM) is a
broader term that focuses on analyzing, exploring,
predicting, clustering, and classification of data in
educational institutions. EDM grows faster and
covers many interdisciplinary such as education, elearning,
data mining, data analysis, intelligent
system etc... The paper presents most relevant work
in the area of EDM in higher education it covers
course management systems, student behaviors,
decision support system, and student retention and
attrition. The paper also provide a comparison
study between some of research work in such areas.
Because of the growth in the interdisciplinary
nature of EDM the paper, also try to provide
boundary scope and definitions for EDM.
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Keywords
Data Mining , DM, Educational Data Mining,
EDM, Knowledge Discovery, KDD, Decision Support
System, DSS, Course Management Systems, CMS.