Educational Data Mining and Learning Analytics: Past, Present and Future

Year 2020, Volume: 9 Issue: 1, 121 - 131, 05.02.2020

Muhittin Şahin , Halil Yurdugül

https://doi.org/10.14686/buefad.606077

Cited By: 17

Abstract

Educational data mining and
learning analytics have recently emerged as two important fields aimed at
rendering e-learning environments more effective. Aim of this study seeks first
to reveal the differences between these two fields and then to discuss the
future of these concepts by evaluating how they changed throughout history.
Educational data mining refers to uncovering the patterns hidden in the big
data whilst learning analytics is the use of these patterns to optimize
e-learning environments. One of the purposes of the study is to add to the
literature on the future trends regarding these concepts. In the very near
future, it seems that studies will be performed on EDM and the Industry 4.0 and
one of its application areas, “(Internet of Things-IoT)” and EDM has the
potential to substantially help researchers in discovering the patterns in the
interaction data in the Learning Management Systems and in designing more
effective learning environments. The studies on the future of learning
analytics are categorized in five main headings: personalization of learning
processes, learning design, learning experience design, dashboard design and
the Industry 4.0 applications. 

Keywords

Educational data mining, Learning analytics, Past, present and future of educational data mining and learning analytics

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