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Educational commitment and social networking: The power of informal networks
Journal article   Open access   Peer reviewed

Educational commitment and social networking: The power of informal networks

Justyna P. Zwolak, Michael Zwolak and Eric Brewe
Physical review. Physics education research, v 14(1), p010131
29 May 2018
PMID: 30984895
url
https://doi.org/10.1103/physrevphyseducres.14.010131View
Published, Version of Record (VoR)CC BY V4.0 Open
url
https://doi.org/10.1103/PhysRevPhysEducRes.14.010131View
Published, Version of Record (VoR) Open

Abstract

Education & Educational Research Education, Scientific Disciplines Social Sciences
The lack of an engaging pedagogy and the highly competitive atmosphere in introductory science courses tend to discourage students from pursuing science, technology, engineering, and mathematics (STEM) majors. Once in a STEM field, academic and social integration has been long thought to be important for students' persistence. Yet, it is rarely investigated. In particular, the relative impact of in-class and out-of-class interactions remains an open issue. Here, we demonstrate that, surprisingly, for students whose grades fall in the "middle of the pack," the out-of-class network is the most significant predictor of persistence. To do so, we use logistic regression combined with Akaike's information criterion to assess in and out-of-class networks, grades, and other factors. For students with grades at the very top (and bottom), final grade, unsurprisingly, is the best predictor of persistence-these students are likely already committed (or simply restricted from continuing) so they persist (or drop out). For intermediate grades, though, only out-of-class closeness-a measure of one's immersion in the network-helps predict persistence. This does not negate the need for in-class ties. However, it suggests that, in this cohort, only students that get past the convenient in-class interactions and start forming strong bonds outside of class are or become committed to their studies. Since many students are lost through attrition, our results suggest practical routes for increasing students' persistence in STEM majors.

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33 citations in Scopus

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#4 Quality Education

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Collaboration types
Domestic collaboration
Web of Science research areas
Education & Educational Research
Education, Scientific Disciplines
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