My colleagues and I recently published our article, “Formation and Action of a Learning Community with Collaborative Learning Software,” in the Journal of Management Information Systems. Below is the abstract and citation.
This paper explores the formation of a learning community facilitated by custom collaborative learning software. Drawing on research in group cognition, knowledge building discourse, and learning analytics, we conducted a mixed-methods field study involving an asynchronous online discussion consisting of 259 messages posted by 50 participants. The cluster analysis results provide evidence that the recommender system within the software can support the formation of a learning community with a small peripheral cluster. Regarding knowledge building discourse, we identified the distinct roles of central, intermediate (i.e., middle of three clusters), and peripheral clusters within a learning community. Furthermore, we found that message lexical complexity does not correlate to the stages of knowledge building. Overall, this study contributes to the group cognition theory to deepen our understanding about collaboration to construct new knowledge in online discussions. Moreover, we add a much-needed text mining perspective to the qualitative interaction analysis model.
Evren Eryilmaz, Brian Thoms, Zafor Ahmed & Howard Lee (2023) Formation and Action of a Learning Community with Collaborative Learning Software, Journal of Management Information Systems, 40:1, 38-55, DOI: 10.1080/07421222.2023.2172774