Title: Educational data mining: a review to its future vision

Authors: Kriti Dhingra; Kanika Dhingra Sardana

Addresses: GGSIPU, VIPS, New Delhi, India ' GGSIPU, IINTM, New Delhi, India

Abstract: Data mining is a technique of extracting useful and hidden patterns from huge databases that were previously unknown. It is a very promising and effective technique for the process of decision making. Educational data mining is an emerging field which concerns with the development of new methods for revealing useful information from data that comes from the education sector in order to improvise the learning experience and improve the standard of education. This paper provides a systematic review on the studies done over educational data mining in the past years. Research gaps in the current literature and further opportunities for research are presented.

Keywords: educational data mining; EDM; decision tree; classification; clustering.

DOI: 10.1504/IJTTC.2017.088730

International Journal of Technology Transfer and Commercialisation, 2017 Vol.15 No.3, pp.309 - 321

Received: 07 Jul 2017
Accepted: 18 Jul 2017

Published online: 04 Dec 2017 *

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