Defining the boundaries between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence

Rienties, Bart; Køhler Simonsen, Henrik and Herodotou, Christothea (2020). Defining the boundaries between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence. Frontiers in Education, 5, article no. 128.

DOI: https://doi.org/10.3389/feduc.2020.00128

Abstract

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.

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About

  • Item ORO ID
  • 71087
  • Item Type
  • Journal Item
  • ISSN
  • 2504-284X
  • Project Funding Details
  • Funded Project NameProject IDFunding Body
    Artificial Intelligence in Teaching1216923EC: non-FP non-H2020
  • Keywords
  • Artificial intelligence in education; Computer-supported collaborative learning (CSCL); Educational data mining (EDM); Learning Analytics (LA); review
  • Academic Unit or School
  • Institute of Educational Technology (IET)
  • Research Group
  • Centre for Research in Education and Educational Technology (CREET)
    OpenTEL
  • Copyright Holders
  • © 2020 Rienties, Køhler Simonsen and Herodotou
  • Depositing User
  • Bart Rienties

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