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Journal article
Characterizing active learning environments in physics using latent profile analysis
Physical review. Physics education research, Vol.18(1), p010113
23 Feb 2022
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
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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Details
- Title
- Characterizing active learning environments in physics using latent profile analysis
- Creators
- Kelley Commeford - Drexel Univ, 3141 Chestnut St, Philadelphia, PA 19104 USAEric Brewe - Drexel UniversityAdrienne Traxler - Wright State Univ, 3640 Colonel Glenn Highway, Dayton, OH 45435 USA
- Publication Details
- Physical review. Physics education research, Vol.18(1), p010113
- Publisher
- Amer Physical Soc
- Number of pages
- 10
- Grant note
- DUE 1711017; 1712341 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Physics
- Identifiers
- 991019168043304721
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- Web of Science research areas
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- Education, Scientific Disciplines