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Conference proceeding
Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs
2019 PHYSICS EDUCATION RESEARCH CONFERENCE, pp 117-122
01 Jan 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
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 at early and late-semester times in a Peer Instruction classroom. The subsequent networks are modeled using exponential random graph models (ERGMs), which are a family of statistical models used with relational data, like social networks. We discuss preliminary findings using this method for a Peer Instruction class. The best-fit ERGM predicts long "chains" of student edges, such as might arise from students talking along rows in the lecture hall. ERGMs appear to be a promising method for quantifying network topology in active learning classrooms.
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Details
- Title
- Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs
- Creators
- Kelley Commeford - Drexel Univ, Dept Phys, 3141 Chestnut St, Philadelphia, PA 19104 USAEric Brewe - Drexel UniversityAdrienne L. Traxler - Wright State Univ, Dept Phys, 3640 Colonel Glenn Hwy, Dayton, OH 45435 USA
- Contributors
- Y Cao (Editor)S Wolf (Editor)M Bennett (Editor)
- Publication Details
- 2019 PHYSICS EDUCATION RESEARCH CONFERENCE, pp 117-122
- Series
- Physics Education Research Conference
- Publisher
- Amer Assoc Physics Teachers
- Number of pages
- 6
- Grant note
- DUE 1711017 / NSF; National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000680866900017
- Scopus ID
- 2-s2.0-85107483874
- Other Identifier
- 991019168209404721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Education, Scientific Disciplines
- Physics, Multidisciplinary