Defining the Boundaries Between Artificial Intelligence in Education, Computer-supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence

Bart Rienties*, Henrik Køhler Simonsen, Christothea Herodotou

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

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This review aims to provide a concise overview of four distinct research fields: Artificial Intelligence and EDucation (AIED), Computer-Supported Collaborative Learning (CSCL), Educational Data Mining (EDM), and Learning Analytics (LA). While all four fields are focused on understanding learning and teaching using technology, each field has a relatively unique or common perspective on which theoretical frameworks, methods, and ontologies might be appropriate. In this review we argue that researchers should be encouraged to cross the boundaries of their respective field and work together to address the complex challenges in education.
Original languageEnglish
Article number128
JournalFrontiers in Education
Issue numberJuly
Number of pages5
Publication statusPublished - 17 Jul 2020


  • Artificial intelligence in education
  • Computer-supported collaborative learning
  • Educational datamining
  • Learning analytics
  • Review

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