Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7493
Title: Refining Student Thinking through Computational Modeling
Authors: Swanson, Hillary
Sherin, Bruce
Wilensky, Uri
Keywords: Learning Sciences
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Swanson, H., Sherin, B., & Wilensky, U. (2021). Refining Student Thinking through Computational Modeling. In de Vries, E., Hod, Y., & Ahn, J. (Eds.), Proceedings of the 15th International Conference of the Learning Sciences - ICLS 2021. (pp. 386-393). Bochum, Germany: International Society of the Learning Sciences.
Abstract: Scientists systematically refine their thinking through theory-building practices. Computational modeling is a key mode of theory building in the 21st century. This study investigates how engagement in the construction and refinement of computational models helps students refine their thinking. Specifically, it presents a microgenetic analysis of an episode during which a student refined their understanding of how disease spreads by building and refining a computational model of an Ebola epidemic. The analysis decomposes the episode into nine theory-building steps and locates the shifts in the student’s thinking that occur in each step. It draws connections between these shifts and the theory building activity.
URI: https://doi.dx.org/10.22318/icls2021.386
https://repository.isls.org//handle/1/7493
Appears in Collections:ISLS Annual Meeting 2021

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