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Characterizing active learning environments in physics using latent profile analysis
Journal article   Open access   Peer reviewed

Characterizing active learning environments in physics using latent profile analysis

Kelley Commeford, Eric Brewe and Adrienne Traxler
Physical review. Physics education research, v 18(1), p010113
23 Feb 2022
url
https://doi.org/10.1103/physrevphyseducres.18.010113View
Published, Version of Record (VoR)CC BY V4.0 Open
url
https://doi.org/10.1103/PhysRevPhysEducRes.18.010113View
Published, Version of Record (VoR) Open

Abstract

Education & Educational Research Education, Scientific Disciplines Social Sciences
The vast majority of research involving active learning pedagogies uses passive lecture methods as a baseline. We propose to move beyond such comparisons to understand the mechanisms that make different active learning styles unique. Here, we use COPUS observations to record student and instructor activities in six known styles of active learning in physics, and use latent profile analysis to classify these observations. Latent profile analysis using two profiles successfully groups COPUS profiles into interactive lecturelike and other. Five latent profiles successfully sorts observations into interactive lecturelike, Modeling Instruction, ISLE labs, context-rich problems labs, and recitationlike or discussionlike. This analysis serves as a proof of concept, and suggests instructional differences across pedagogies that can be further investigated using this method.

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6 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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