Learning Analytics for Communities of Inquiry

Vitomir Kovanovic, Dragan Gasevic, Marek Hatala

Research output: Contribution to journalArticlepeer-review

Abstract

This paper describes a doctoral research that focuses on the development of a learning analytics framework for inquiry-based digital learning. This research builds on the the Community of Inquiry model (CoI) as a foundation commonly used in research and practice of digital learning and teaching. Specifically, the main contributions of this research are: i) the development of a novel text classification algorithm for (semi)automated message classification which enables for easier adoption of the CoI model, ii) understanding of the relationships between different socio-technological interactions and the dimensions of the CoI model.
Original languageEnglish
Pages (from-to)195–198
JournalJournal of Learning Analytics
Volume1
Issue number3
Publication statusPublished - 2014

Keywords

  • Learning analytics
  • community of inquiry
  • quantitative content analysis
  • social network analysis
  • trace data clustering

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