2013
DOI: 10.1103/physrevstper.9.020109
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Talking and learning physics: Predicting future grades from network measures and Force Concept Inventory pretest scores

Abstract: The role of student interactions in learning situations is a foundation of sociocultural learning theory, and social network analysis can be used to quantify student relations. We discuss how self-reported student interactions can be viewed as processes of meaning making and use this to understand how quantitative measures that describe the position in a network, called centrality measures, can be understood in terms of interactions that happen in the context of a university physics course. We apply this discu… Show more

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Cited by 85 publications
(142 citation statements)
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“…One resource to enrich this perspective comes from the social sciences, where social network analysis has been used for decades as a way to quantify and explore communities and the interactions that structure them [1]. Recently, discipline-based education researchers have taken up these tools to begin systematically mapping peer interactions and how they correlate with other indicators [2][3][4][5]. These investigations can reach a wider pool of students than in-depth interviews, and the resulting largescale picture provides a valuable counterpart to fine-grained qualitative data [6].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…One resource to enrich this perspective comes from the social sciences, where social network analysis has been used for decades as a way to quantify and explore communities and the interactions that structure them [1]. Recently, discipline-based education researchers have taken up these tools to begin systematically mapping peer interactions and how they correlate with other indicators [2][3][4][5]. These investigations can reach a wider pool of students than in-depth interviews, and the resulting largescale picture provides a valuable counterpart to fine-grained qualitative data [6].…”
Section: Introductionmentioning
confidence: 99%
“…For a temporally-evolving, detailed picture, Bruun and Brewe [4] analyzed weekly surveys asking students who they interacted with in a number of contexts (e.g., problem-solving, in-class socializing). By aggregating this information over the semester, a complex weighted picture of student interactions emerges.…”
Section: Introductionmentioning
confidence: 99%
“…In a classroom setting, centrality may be understood to be how connected a given student is to other students in the class. To better understand what centrality actually means in an educational context, we build on the work of Bruun and Brewe [6] by incorporating centrality measures into conventional statistical methods with general linear regression. In this study, we utilize centrality from two perspectives: as a predicted quantity that may be predicted by initial-state variables such as incoming GPA, and as a predictive quantity that may predict final-state variables such as final grade in course.…”
Section: Introductionmentioning
confidence: 99%
“…Large target entropy means less predictability. Target entropy has previously been related to academic success [5]. This measure of centrality can be interpreted both on a node level basis and-because entropy is additive-on a whole-network level.…”
Section: A Social Networkmentioning
confidence: 99%