PERC 2022 Abstract Detail Page
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| Abstract Title: | Social Network Analysis of a Physics Faculty Online Learning Community |
|---|---|
| Abstract Type: | Contributed Poster Presentation |
| Abstract: | We analyze the results of two surveys administered to a Faculty Online Learning Community teaching a common physics curriculum designed primarily for pre-service elementary teachers. We use Social Network Analysis to represent the faculty network and compare members' closeness, a measure of how closely connected a person is with every other person in their network, to their reported experience in the community. We find that participants' self-efficacy, as well as their teaching and sense of benefitting from the community, are predictors of their centrality in the network as measured by closeness with other participants. |
| Session Time: | Poster Session 2 |
| Poster Number: | II-55 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Chase Hatcher Drexel University Philadelphia, PA Phone: 9198159439 |
| Co-Author(s) and Co-Presenter(s) |
Edward Price (he/him), California State University San Marcos P. Sean Smith (he/him), Horizon Research, Inc. Chandra Turpen (she/her), University of Maryland-College Park Eric Brewe (he/him), Drexel University |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
