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Title: Digital Epistemic Scaffolds to Support Student Collaboration for the Integration of Evidence Across Multiple Documents
Authors: O’Dwyer, Eowyn P.
Chinn, Clark A.
Mochizuki, Toshio
Myat Min Swe
Htay Min Khaung
Sekine, Seiji
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: O’Dwyer, E. P., Chinn, C. A., Mochizuki, T., Myat Min Swe, Htay Min Khaung, & Sekine, S. (2023). Digital epistemic scaffolds to support student collaboration for the integration of evidence across multiple documents. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1829-1830). International Society of the Learning Sciences.
Abstract: An important goal of 21st century education is preparing students to comprehend and integrate information from multiple documents to make informed judgments as lay people. This paper describes student use of a computer-supported collaborative learning (CSCL) system called EDDiE (Electronic Documents Disagreements Evaluation) that embeds epistemic scaffolds into a shared workspace designed to support students as they analyze, evaluate, interpret, and integrate evidence from multiple documents. In this study, the EDDiE system successfully promoted student discourse related to evidence analysis, evaluation, interpretation, and integration, and lay use of evidence. Findings indicate that students need further instruction and scaffolding to distinguish among the quality, amount, and strength of evidence and to support the development of epistemic criteria for evaluating the quality of document sources.
Description: Poster
Appears in Collections:ISLS Annual Meeting 2023

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