Social Dynamics and Discourse Moves: A Closer Look Into a Twitter-Facilitated Professional Learning Space

Author:

Zheng Binbin,Beck Dallaghan Gary,Wang Zilu

Abstract

Introduction: Professionals use Twitter because of its potential to support easy and rapid communication among like-minded people. It is also used widely by educators to support the establishment of professional learning spaces. This study investigates social interactions and knowledge construction in synchronous online discussions using the Twitter hashtag #MedEdChat. Methods: Three synchronous Twitter discussions on #MedEdChat during the early part of the COVID-19 pandemic were analyzed. Social network analysis was conducted to capture the social interactions among their participants and network dynamics. Content analysis was used to examine the nature of tweets posted on #MedEdChat, including social-related, cognitive-related, and moderation-related tweets. Results: In all three discussions, a small number of individuals dominated the interactions, while also serving as hubs for connections with others in more peripheral positions. Very few participants were isolated nodes who never interacted with others during the online discussions. Our content analysis suggested that parties to these discussions posted social-related posts the most, followed by cognitive-related ones. Social posts focused on others' messages, continuing threads, issuing compliments and greetings, and expressing emotions. Cognitive-related posts, on the other hand, mostly focused on information exchange/sharing or asking content-related questions to promote discussion (ie, triggering event). Discussion: By examining social dynamics and discourse moves in Twitter-supported online synchronous discussions using the #MedEdChat hashtag, this study found that Twitter has the potential to facilitate professional learning spaces in which a few highly active individuals serve as portals for connections and interactions among all discussants. In addition, in such communities, social-related and cognitive-related tweets could promote social interactions and knowledge construction.

Funder

Alliance for Clinical Education

Publisher

Ovid Technologies (Wolters Kluwer Health)

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