Educational Data Mining and Learning Analytics: Past, Present and Future
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Tarih
2020
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Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Kaynak
Bartın Üniversitesi Eğitim Fakültesi Dergisi
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Scopus Q Değeri
Cilt
9
Sayı
1
