Conference proceeding
Network centrality and student self-efficacy in an interactive introductory physics environment
2014 PHYSICS EDUCATION RESEARCH CONFERENCE, pp 67-70
01 Jan 2014
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Collaborative learning environments in undergraduate introductory physics courses, such as those promoted by University Modeling Instruction (UMI), influence both student performance and behavioral constructs. Of these constructs, self-efficacy has the power to predict student performance and persistence in the major. Our study examines a plausible mechanism by which self-efficacy may be influenced in these collaborative courses, particularly as it relates to two sources of self-efficacy: vicarious learning and verbal persuasion. We found that social network analysis-based centrality measures are positively correlated with self-efficacy scores on the Sources of Self-Efficacy in Science Courses-Physics (SOSESC-P) for students in either traditional lecture or UMI introductory physics courses. Moreover, centrality scores-calculated as either degree centrality or undirected PageRank centrality-correlate positively with scores on the vicarious learning and verbal persuasion subsection of the SOSESC-P. This suggests that collaborative, inquiry-based learning environments may promote higher student self-efficacy.
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Details
- Title
- Network centrality and student self-efficacy in an interactive introductory physics environment
- Creators
- Remy Dou - Florida International UniversityEric Brewe - Florida International University
- Contributors
- P V Engelhardt (Editor)A D Churukian (Editor)D L Jones (Editor)
- Publication Details
- 2014 PHYSICS EDUCATION RESEARCH CONFERENCE, pp 67-70
- Series
- Physics Education Research Conference
- Publisher
- Amer Assoc Physics Teachers
- Number of pages
- 4
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Physics
- Web of Science ID
- WOS:000375145900015
- Other Identifier
- 991021877366404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Education & Educational Research
- Education, Scientific Disciplines
- Physics, Multidisciplinary