Open AccessVisualizing the Educational Data Mining Literature
Author(s) -
Ilias Papadogiannis,
Nikos Platis,
Vassilis Poulopoulos,
Costas Vassilakis,
George Lepouras,
M. Wallace,
G. Karountzou
Publication year - 2020
Publication title -
european journal of engineering research and science
Language(s) - English
Resource type - Journals
ISSN - 2506-8016
DOI - 10.24018/ejers.2020.0.cie.2306
Subject(s) - visualization , contrast (vision) , field (mathematics) , computer science , data science , educational data mining , focus (optics) , data mining , mathematics education , information retrieval , artificial intelligence , psychology , mathematics , physics , pure mathematics , optics
This article provides a visualization of a literature review in students’ performance prediction using educational data mining (EDM) techniques for the period 2015-2019. The results of the review are presented concisely and simply with the use of diagrams. Various aspects of the literature are examined, such as the algorithms adopted, the type of results drawn, the educational setting of the application and the actual exploitation of the outcomes. Findings indicate that tertiary education dominates the EDM field; in contrast, the focus given to secondary and primary education is minimal.