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Understanding centrality: Investigating student outcomes within a classroom social network
Conference paper   Open access

Understanding centrality: Investigating student outcomes within a classroom social network

Eric Williams, Eric Brewe, Justyna Zwolak and Remy Doti
2015 Physics Education Research Conference, pp 375-378
01 Jan 2015
url
https://doi.org/10.1119/perc.2015.pr.089View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

Education & Educational Research Education, Scientific Disciplines Physics, Multidisciplinary Science & Technology Physical Sciences Physics Social Sciences
Collaborative learning environments in undergraduate introductory physics courses, such as those promoted by Modeling Instruction (MI), influence both student performance and student social interactions. Because collaborative learning is inherently a social activity, we applied Network Analysis methods to examine student social interactions within the classroom using a survey administered periodically in class. We then calculated centrality, which is a family of measures that quantify how connected or "central" a particular student is within the classroom social network. In order to understand what centrality means in this context, we investigated the relationships among centrality, student demographics, and student outcomes in a large-scale MI classroom with 70 students and 6 instructors. We addressed two research questions: "Is centrality predicted by sex, ethnicity, incoming GPA, or Force-Motion Concept Evaluation (FMCE) prescore?" and "Does centrality predict FMCE gain or final grade in course?" A series of linear regressions showed that centrality can be predicted by sex and incoming GPA, and is a predictor of FMCE gain.

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Web of Science research areas
Education & Educational Research
Education, Scientific Disciplines
Physics, Multidisciplinary
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