PERC 2019 Abstract Detail Page
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| Abstract Title: | Characterizing Active Learning Environments in Physics: Network Analysis using Exponential Random Graph Models |
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| Abstract: | Active learning is broadly shown to improve student outcomes as compared with traditional lecture, but more work must be done to distinguish outcomes between different types of active learning. We collected self-reported student social network data in six different active learning curricula. The subsequent networks were modeled using exponential random graph models (ERGMs), which are a family of statistical models used with relational data, like social networks. In this talk, we will discuss preliminary findings using this method. |
| Abstract Type: | Contributed Poster Presentation |
| Session Time: | Poster Session II |
| Poster Number: | B60 |
| Contributed Paper Record: | Contributed Paper Information |
| Contributed Paper Download: | Download Contributed Paper |
Author/Organizer Information | |
| Primary Contact: |
Kelley Commeford Drexel University 32 S 32nd ST Philadelphia, PA 19104 Phone: 7193391217 |
| Co-Author(s) and Co-Presenter(s) |
Eric Brewe- Drexel University Adrienne Traxler- Wright State University |
Contributed Poster | |
| Contributed Poster: | Download the Contributed Poster |
