Educational Data Mining versus Learning Analytics: estamos reinventando a roda? Um mapeamento sistemático

Abstract

Virtual learning environments allow the gathering of several student data. Two research areas have emerged with the purpose of analyze these data and use the results to enhance learning and teaching processes: Educational Data Mining (EDM) and Learning Analytics (LA). However, since the appearance of the LA field, there is a discussion about this being a new research area or just a new name to the EDM field. This paper seeks to distinguish both areas through a systematic mapping of the literature. As results, differences were found in the use of algorithms, tools and techniques. Thus, it is clear that there are differences between both fields.