Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/1710
Title: Using Epistemic Network Analysis to Explore Ways of Contributing to Knowledge Building Discourse
Authors: Ma, Leanne
Matsuzawa, Yoshiaki
Scardamalia, Marlene
Issue Date: Jun-2019
Publisher: International Society of the Learning Sciences (ISLS)
Citation: Ma, L., Matsuzawa, Y., & Scardamalia, M. (2019). Using Epistemic Network Analysis to Explore Ways of Contributing to Knowledge Building Discourse. In Lund, K., Niccolai, G. P., Lavoué, E., Gweon, C. H., & Baker, M. (Eds.), A Wide Lens: Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings, 13th International Conference on Computer Supported Collaborative Learning (CSCL) 2019, Volume 2 (pp. 881-882). Lyon, France: International Society of the Learning Sciences.
Abstract: This study explores Epistemic Network Analysis (ENA) to assess Knowledge Building discourse. Knowledge Forum notes were coded using a "ways of contributing" framework, and students were grouped based on their use of Knowledge Forum scaffolds. Findings indicate that the epistemic networks for theory, question, and source groups were significantly different from one another, yet complementary. The potential for ENA to model contribution dynamics during cycles of knowledge advancement is discussed.
URI: https://doi.dx.org/10.22318/cscl2019.881
https://repository.isls.org//handle/1/1710
Appears in Collections:CSCL 2019

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