Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9223
Title: Epistemic Scaffolds to Promote Disagreement Identification and Resolution for Multiple Conflicting Documents
Authors: Mochizuki, Toshio
O’Dwyer, Eowyn P.
Chinn, Clark A.
Myat Min Swe
Htay Min Khaung
Sekine, Seiji
Keywords: CSCL
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Mochizuki, T., O’Dwyer, E. P., Chinn, C. A., Myat Min Swe, Htay Min Khaung, & Sekine, S. (2023). Epistemic scaffolds to promote disagreement identification and resolution for multiple conflicting documents. In Damșa, C., Borge, M., Koh, E., & Worsley, M. (Eds.), Proceedings of the 16th International Conference on Computer-Supported Collaborative Learning - CSCL 2023 (pp. 313-316). International Society of the Learning Sciences.
Abstract: Resolving disagreements among multiple documents by identifying contradictions and reasoning about them is at the core of integrating information from multiple conflicting documents. This study reports the results of an experiment that examined the effectiveness of an epistemic scaffold for promoting productive epistemic discourse to reason about multiple conflicting documents to reach reasonable conclusions. The scaffold introduced possible reasons for why disagreements exist among multiple documents. The results show that the experimental groups exchanged more reasons for disagreements and referred to more types of reasons, including both those that appeared in the scaffold and their own original reasons. Excerpts of student discussions illustrate that the scaffold enabled richer discussions that considered diverse perspectives and possible reasons for disagreements. However, even the experimental groups drew their final conclusions based on only a few of the reasons they considered in their analysis.
Description: Short Paper
URI: https://doi.org/10.22318/cscl2023.646732
https://repository.isls.org//handle/1/9223
Appears in Collections:ISLS Annual Meeting 2023

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