TY  - JOUR
TI  - Educational Data Mining and Learning Analytics: Past, Present and Future
AB  - Educational data mining and learning analytics have recently emerged as twoimportant fields aimed at rendering e-learning environments more effective. Aimof this study seeks first to reveal the differences between these two fields and thento discuss the future of these concepts by evaluating how they changed throughouthistory. Educational data mining refers to uncovering the patterns hidden in thebig data whilst learning analytics is the use of these patterns to optimize e-learningenvironments. One of the purpos,es of the study is to add to the literature on the future trends regarding theseconcepts. The studies on the future of learning analytics are categorized in fivemain headings: personalization of learning processes, learning design, learningexperience design, dashboard design and the Industry 4.0 applications. In the verynear future, it seems that studies will be performed on EDM and the Industry 4.0one of its application areas, “(Internet of Things-IoT)” and EDM has the potentialto substantially help researchers in discovering the patterns in the interaction datain the Learning Management Systems and in designing more effective learningenvironments.
AU  - Yurdugül, Halil
AU  - ŞAHİN, Muhittin
DO  - 10.14686/buefad.606077
PY  - 2020
JO  - Bartın Üniversitesi Eğitim Fakültesi Dergisi
VL  - 9
IS  - 1
SN  - 1308-7177
SP  - 121
EP  - 131
DB  - TRDizin
UR  - http://search/yayin/detay/451309
ER  -