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Abstract Title: Characterizing Active Learning Environments in Physics: Network Analysis using Exponential Random Graph Models
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