Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1151
Title: Moving Beyond Case Studies: Using Social Network Analysis to Study Learning as Participation in Communities of Practice
Authors: Eberle, Julia
Stegmann, Karsten
Fischer, Frank
Issue Date: Jun-2014
Publisher: Boulder, CO: International Society of the Learning Sciences
Citation: Eberle, J., Stegmann, K., & Fischer, F. (2014). Moving Beyond Case Studies: Using Social Network Analysis to Study Learning as Participation in Communities of Practice. In Joseph L. Polman, Eleni A. Kyza, D. Kevin O'Neill, Iris Tabak, William R. Penuel, A. Susan Jurow, Kevin O'Connor, Tiffany Lee, and Laura D'Amico (Eds.). Learning and Becoming in Practice: The International Conference of the Learning Sciences (ICLS) 2014. Volume 1. Colorado, CO: International Society of the Learning Sciences, pp. 463-470.
Abstract: We argue that social network analysis is a useful methodology to study learning under the participation metaphor and to extend scholarly knowledge on the process of legitimate peripheral participation in communities of practice. We emphasize that it is necessary to extend current research about the epistemic aspects of participative learning and to take also the social aspects into account; we first review work on legitimate peripheral participation and how research on this topic is currently conducted. Then we describe the theoretical and methodological foundations of social network analysis. Exemplary studies that use social network analysis including studies on legitimate peripheral participation are presented. We conclude that social network analysis can enable us to make inferences about participative learning across specific setting and individual communities. For the future, the challenge is to relate dynamically changing patterns of legitimate peripheral participation to emerging and changing epistemic practices of a community.
URI: https://doi.dx.org/10.22318/icls2014.463
https://repository.isls.org//handle/1/1151
Appears in Collections:ICLS2014

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