Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs
written by
Kelley Commeford, Eric Brewe, and Adrienne L. Traxler
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.
Physics Education Research Conference 2019
Part of the PER Conference series Provo, UT: July 24-25, 2019 Pages 117-122
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![]() <a href="https://www.compadre.org/portal/items/detail.cfm?ID=15264">Commeford, K, E. Brewe, and A. Traxler. "Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs." Paper presented at the Physics Education Research Conference 2019, Provo, UT, July 24-25, 2019.</a>
![]() K. Commeford, E. Brewe, and A. Traxler, , presented at the Physics Education Research Conference 2019, Provo, UT, 2019, WWW Document, (https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176).
![]() K. Commeford, E. Brewe, and A. Traxler, Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs, presented at the Physics Education Research Conference 2019, Provo, UT, 2019, <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176>.
![]() Commeford, K., Brewe, E., & Traxler, A. (2019, July 24-25). Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs. Paper presented at Physics Education Research Conference 2019, Provo, UT. Retrieved February 16, 2025, from https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176
![]() Commeford, K, E. Brewe, and A. Traxler. "Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs." Paper presented at the Physics Education Research Conference 2019, Provo, UT, July 24-25, 2019. https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176 (accessed 16 February 2025).
![]() Commeford, Kelley, Eric Brewe, and Adrienne Traxler. "Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs." Physics Education Research Conference 2019. Provo, UT: 2019. 117-122 of PER Conference. 16 Feb. 2025 <https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176>.
![]() @inproceedings{
Author = "Kelley Commeford and Eric Brewe and Adrienne Traxler",
Title = {Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs},
BookTitle = {Physics Education Research Conference 2019},
Pages = {117-122},
Address = {Provo, UT},
Series = {PER Conference},
Month = {July 24-25},
Year = {2019}
}
![]() %A Kelley Commeford %A Eric Brewe %A Adrienne Traxler %T Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs %S PER Conference %D July 24-25 2019 %P 117-122 %C Provo, UT %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176 %O Physics Education Research Conference 2019 %O July 24-25 %O application/pdf ![]() %0 Conference Proceedings %A Commeford, Kelley %A Brewe, Eric %A Traxler, Adrienne %D July 24-25 2019 %T Characterizing active learning environments in physics: network analysis of Peer Instruction classroom using ERGMs %B Physics Education Research Conference 2019 %C Provo, UT %P 117-122 %S PER Conference %8 July 24-25 %U https://www.compadre.org/Repository/document/ServeFile.cfm?ID=15264&DocID=5176 Disclaimer: ComPADRE offers citation styles as a guide only. We cannot offer interpretations about citations as this is an automated procedure. Please refer to the style manuals in the Citation Source Information area for clarifications.
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