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Title: A Multivocality Approach to Epistemic Agency in Collaborative Learning
Authors: Oshima, Jun
Oshima, Ritsuko
Fujita, Wataru
Issue Date: Jul-2015
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: Oshima, J., Oshima, R., & Fujita, W. (2015). A Multivocality Approach to Epistemic Agency in Collaborative Learning In Lindwall, O., Häkkinen, P., Koschman, T. Tchounikine, P. Ludvigsen, S. (Eds.) (2015). Exploring the Material Conditions of Learning: The Computer Supported Collaborative Learning (CSCL) Conference 2015, Volume 1. Gothenburg, Sweden: The International Society of the Learning Sciences.
Abstract: The purpose of this study was to propose a multivocality approach to analyzing shared epistemic agency in collaborative learning and to test its effectiveness by examining actual datasets. We proposed the combination of social network analysis (SNA) and in-depth dialogical analysis as a multivocality approach and analyzed discourse transcriptions of collaborative reading comprehension by university students as datasets. First, we identified pivotal points of discourse where students might engage in an epistemic action toward alleviating a lack of knowledge. Then, we conducted in-depth analysis of discourse segments around the pivotal points. Results revealed that pivotal points identified by SNA were confirmed as alleviating lack of knowledge by further in-depth dialogical analysis. We further succeeded in identifying dialogical patterns in the shared epistemic agency and each individual student’s contribution to them.
Appears in Collections:CSCL 2015

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