ERIC Number: EJ1343503
Record Type: Journal
Publication Date: 2022
Pages: 10
Abstractor: As Provided
ISBN: N/A
ISSN: N/A
EISSN: EISSN-2469-9896
Characterizing Active Learning Environments in Physics Using Latent Profile Analysis
Physical Review Physics Education Research, v18 n1 Article 010113 Jan-Jun 2022
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.
Descriptors: Active Learning, Teaching Methods, Cognitive Style, Physics, Undergraduate Study, Time, Statistical Analysis, Student Centered Learning, Observation
American Physical Society. One Physics Ellipse 4th Floor, College Park, MD 20740-3844. Tel: 301-209-3200; Fax: 301-209-0865; e-mail: assocpub@aps.org; Web site: http://prst-per.aps.org
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: DUE1711017; DUE1712341