The State of the Art on Educational Data Mining in Higher Education

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-31 Number-1
Year of Publication : 2016
Authors : Mohamed Osman Hegazi, Mazahir Abdelrhman Abugroon


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. 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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Data Mining , DM, Educational Data Mining, EDM, Knowledge Discovery, KDD, Decision Support System, DSS, Course Management Systems, CMS.