Applications of Educational Data Mining: A survey

Author

Hari Ganesh, S. ; Christy, A. Joy

Author_Institution

Dept. of Comput. Applic., Bishop Heber Coll. (Autonomous), Tiruchirappalli, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

6

Abstract

Various educational oriented problems are resolved through Educational Data Mining, which is the most prevalent applications of data mining. One of the crucial goals of this paper is to study the most recent works carried out on EDM and analyze their merits and drawbacks. This paper also highlights the cumulative results of the various data mining practices and techniques applied in the surveyed articles, and thereby suggesting the researchers on the future directions on EDM. In addition, an experiment was also conducted to evaluate, certain classification and clustering algorithms to observe the most reliable algorithms for future researches.

Keywords

data mining; educational computing; pattern classification; pattern clustering; EDM; classification algorithms; clustering algorithms; educational data mining; educational oriented problems; Association rules; Classification algorithms; Clustering algorithms; Data models; Education; Videos; Data Mining; EDM; Techniques; approaches;

fLanguage

English

Publisher

ieee

Conference_Titel

Innovations in Information, Embedded and Communication Systems (ICIIECS), 2015 International Conference on

Conference_Location

Coimbatore

Print_ISBN

978-1-4799-6817-6

Type

conf

DOI

10.1109/ICIIECS.2015.7192945

Filename

7192945