A Critical Review of Data Mining for Education: What has been done, what has been learnt and what remains to be seen

Volume 5 Issue 4 (October 2020)
Ilias PAPADOGIANNIS Vassilis POULOPOULOS Manolis WALLACE
Pages: 353-372 Download Count : 168 View Count: 485 DOI Number 10.24331/ijere.755047 Facebook Share on Google+ Save to Zotero Save to Mendeley

Abstract:


This article provides a thorough review of educational data mining (EDM) in the period 2015-2019. Going beyond earlier review works, in this article we examine previous research from a variety of aspects, including the examined data, the algorithms used, the type of conclusions drawn, the educational level/setting of application and the actual exploitation of the results in the educational setting. Our findings indicate that tertiary education dominates the EDM domain, while minimal focus has been given to secondary education and almost none to primary education. Our finding, and suggestion, is that by focusing EDM on earlier education level the field can have a more profound impact on education and on society as a whole

Keywords

  • Educational data mining
  • student performance
  • secondary education
  • tertiary education
  • methods
  • accuracy
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