Identifying online communities of inquiry in higher education using social network analysis

Shazia K Jan*

*Corresponding author for this work

Research output: Contribution to journalArticle

6 Citations (Scopus)
13 Downloads (Pure)

Abstract

This article presents findings from a case study on a fully online bachelor’s level course at an Australian University. The study was undertaken to demonstrate the effectiveness of the integrated methodological framework (IMF) in structurally exploring and identifying online communities of inquiry (CoI). The IMF employs social network analysis (SNA) as the key methodology for exploring community-based learning in light of the communities of practice (CoP) and CoI frameworks. The case study was conducted on two offerings of the same online course with some variations in the design. In line with the intentions of the lecturer to engage students in a CoI, the course included guided, facilitated, and graded weekly discussion activities. On application of the IMF, network diagrams and SNA measures clearly showed the impact of the different learning designs on student online engagement within the discussion forums in each semester. Based on structural components of a CoI within the IMF, a comparative analysis of the networks obtained indicated the formation of an unidentified community in S2 and a CoI in S3. The article discusses findings in terms of effectiveness of the IMF, impact of learning design on community formation and learning analytics in online learning.
Original languageEnglish
Article number2064
Pages (from-to)1-13
Number of pages13
JournalResearch in Learning Technology
Volume26
DOIs
Publication statusPublished - 9 Jun 2018

Bibliographical note

Copyright the Author(s) 2018. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • social network analysis
  • learning design
  • online learning
  • community of inquiry
  • methodological framework

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