Please use this identifier to cite or link to this item: http://hdl.handle.net/10497/24207
Title: 
Authors: 
Keywords: 
Teacher professional development
Informal learning
Social media
Learning communities
Social network analysis
Online community
Issue Date: 
2022
Citation: 
Du, H., Xing, W., & Zhu, G. (2022). Mining teacher informal online learning networks: Insights from massive educational chat tweets. Journal of Educational Computing Research. Advance online publication. https://doi.org/10.1177/07356331221103764
Journal: 
Journal of Educational Computing Research
Abstract: 
Social-media-based teacher learning networks have the affordance to grant flexibility of time and space for teachers’ professional learning, support the development and sustainability of social networking, and meet their just-in-time needs for exchanging knowledge, negotiating meaning and accessing resources. However, most existing research on teacher online learning networks relies on qualitative methods and self-report data. There is a lack of study using quantitative methods to study large networks, especially using authentic data from social media. This work adds to the literature through mining teacher informal online learning networks using authentic data retrieved from Twitter. Specifically, we collected around half a million tweets and developed a network with the data. Then, various social network analysis techniques were utilized to explore the network structure and characteristics, participants’ behavioral patterns and how individuals connected with each other. We found that members of massive teacher informal online learning networks tended to communicate more with others of similar characteristics forming homogeneous communities, while hub participants connected many small communities which are significantly from one another, and hence, are the key to degree heterogeneity in a large network.
URI: 
ISSN: 
0735-6331 (print)
1541-4140 (online)
DOI: 
File Permission: 
Open
File Availability: 
With file
Appears in Collections:Journal Articles

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