Research Topics on Educational Data Mining in MOOCS

Vanessa Faria de Souza; Tony Carlos Bignardi dos  Santos

doi:10.31686/ijier.vol8.iss7.2481

Authors

Vanessa Faria de Souza Instituto Federal de Educação Ciência e Tecnologia do Rio Grande do Sul
Tony Carlos Bignardi dos Santos University Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

DOI:

https://doi.org/10.31686/ijier.vol8.iss7.2481

Keywords:

MOOCS, Educational Data Mining, Systematic Mapping

Abstract

Educational Data Mining Techniques have been widely used in MOOC environments to conduct different educational analyzes. In this context, a systematic mapping was conducted in five databases in order to verify which aspects of studies are inherent to the use of Educational Data Mining in MOOCs. The search comprised the period from 2015 to 2019, and 253 searches were found, out of this total, 133 studies were selected. The results revealed that studies on performance analysis, behavior analysis, forum analysis and implementation of recommendation systems are the most frequent themes.

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Author Biography

Tony Carlos Bignardi dos Santos, University Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Graduate Program of Informatics in Education

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