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Network positions in active learning environments in physics
Journal article   Open access   Peer reviewed

Network positions in active learning environments in physics

Adrienne L. Traxler, Tyme Suda, Eric Brewe and Kelley Commeford
Physical review. Physics education research, v 16(2), p020129
27 Oct 2020
url
https://doi.org/10.1103/physrevphyseducres.16.020129View
Published, Version of Record (VoR)CC BY V4.0 Open
url
https://doi.org/10.1103/PhysRevPhysEducRes.16.020129View
Published, Version of Record (VoR) Open

Abstract

Education & Educational Research Education, Scientific Disciplines Social Sciences
This study uses positional analysis to describe the student interaction networks in four research-based introductory physics curricula. Positional analysis is a technique for simplifying the structure of a network into blocks of actors whose connections are more similar to each other than to the rest of the network. This method describes social structure in a way that is comparable between networks of different sizes and densities and can show large-scale patterns such as hierarchy among positions. We detail one positional analysis method and apply it to class sections of Peer Instruction, SCALE-UP, ISLE, and Minnesota Model context-rich problems. At the level of detail shown in the blockmodels, most of the curricula are more alike than different, showing a late-term tendency to form coherent subgroups that communicate actively among themselves but have few interposition links. Initial position assignments tend to change from beginning to end of the term, but in cases where the initial assignment is stable, those students appear to become more connected to each other and to the largest network component. These trends in position structure and stability may be network signatures of active learning classes, but wider data collection is needed to investigate.

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20 citations in Scopus

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Collaboration types
Domestic collaboration
Web of Science research areas
Education & Educational Research
Education, Scientific Disciplines
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