Online Learning Communities in the COVID-19 Pandemic: Social Learning Network Analysis of Twitter During the Shutdown

Peer reviewed: 
Yes, item is peer reviewed.
Scholarly level: 
Faculty/Staff
Final version published as: 

Lemay, D. J., & Doleck, T. (2020). Online Learning Communities in the COVID-19 Pandemic: Social Learning Network Analysis of Twitter during the Shutdown. International Journal of Learning Analytics and Artificial Intelligence for Education, 2(1), 85–100. DOI: 10.3991/ijai.v2i1.15427.

Date created: 
2020-05-28
Identifier: 
DOI: 10.3991/ijai.v2i1.15427
Keywords: 
Social learning network analysis
Twitter
Online learning
Online teaching
COVID-19
Online discourse communities
Discussion forums
Abstract: 

This paper presents a social learning network analysis of Twitter during the 2020 global shutdown due to the COVID-19 pandemic. Research concerning online learning environments is focused on the reproduction of conventional teaching arrangements, whereas social media technologies afford new channels for the dissemination of information and sharing of knowledge and expertise. We examine Twitter feed around the hashtags online learning and online teaching during the global shutdown to examine the spontaneous development of online learning communities. We find relatively small and ephemeral communities on the two topics. Most users make spontaneous contributions to the discussion but do not maintain a presence in the Twitter discourse. Optimizing the social learning network, we find many potential efficiencies to be gained through more proactive efforts to connect knowledge seekers and knowledge disseminators. Considerations and prospects for supporting online informal social learning networks are discussed.

Language: 
English
Document type: 
Article
Rights: 
Rights remain with the authors.
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