Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/8302
Title: Promoting Collaborative Productive Epistemic Discourse for Disagreement Resolution Among Multiple Documents: How Epistemic Scaffolds and Epistemic Scripts in CSCL Worked
Authors: Mochizuki, Toshio
Chinn, Clark A.
Zimmerman, Randi M.
Myat Min Swe
Htay Min Khaung
Sekine, Seiji
Keywords: CSCL
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Mochizuki, T., Chinn, C. A., Zimmerman, R. M., Myat Min Swe, Htay Min Khaung, & Sekine, S. (2022). Promoting collaborative productive epistemic discourse for disagreement resolution among multiple documents: How epistemic scaffolds and epistemic scripts in CSCL worked. In Weinberger, A. Chen, W., Hernández-Leo, D., & Chen, B. (Eds.), Proceedings of the 15th International Conference on Computer-Supported Collaborative Learning - CSCL 2022 (pp. 340-343). International Society of the Learning Sciences.
Abstract: We describe and investigate a web-based CSCL system called EDDiE to help students analyze multiple conflicting information through collaborative interactions. The application allows students to organize a visual representation to compare and contrast information from multiple conflicting documents in order to resolve disagreements among the documents. The system embeds epistemic scaffolds to guide students’ reasoning as they resolve disagreements. Based on the Grasp of Evidence framework, the application helps students collaboratively analyze and compare claims, sources, and evidence across multiple documents. Students thereby deeply discuss reasons for disagreements, seek to resolve the disagreements, and develop their own reasonable conclusion. A preliminary evaluation in a university class (with selected results reported here) showed that the designed epistemic scaffolds and epistemic script elicited productive discussion to justify students’ decisions.
Description: Short Paper
URI: https://doi.dx.org/10.22318/cscl2022.340
https://repository.isls.org//handle/1/8302
Appears in Collections:ISLS Annual Meeting 2022

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