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 af dette arbejde

Publikation: Bidrag til tidsskriftReviewForskningpeer review

Abstrakt

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.
OriginalsprogEngelsk
Artikelnummer128
TidsskriftFrontiers in Education
Vol/bind5
Udgave nummerJuly
Antal sider5
ISSN2504-284X
DOI
StatusUdgivet - 17 jul. 2020

Emneord

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

Citationsformater