Characterizing faculty online learning community interactions using social network analysis

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Abstract
The Partnership for Integration of Computation into Undergraduate Physics (PICUP) was founded in the mid-2010s to assist educators with the challenges of integrating computation into physics curricula. In addition to in-person trainings and hosted educational materials, PICUP uses a Slack Workspace to continue collaboration and discussion off-line. In this work, we use social network analysis (SNA) to study the communication patterns of PICUP and assess if PICUP is meeting their goals in the Slack environment. Through our analysis, we discuss PICUP’s community structure and define a conceptual framework to evaluate if the goals are being met through SNA metrics. We present a comprehensive analysis of eight channels in the Slack Workspace using various SNA metrics, identifying three distinct levels of user engagement. We conclude with implications for PICUP and provide recommendations for the community.
Funding Information
  • National Science Foundation (NSF DUE-1431776, NSF DUE-1504786, NSF DUE-1524128)

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