Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10274
Title: Epistemic Systems: A Knowledge-Level Characterization of Epistemic Games
Authors: Swanson, Hillary
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Swanson, H. (2023). Epistemic systems: A knowledge-level characterization of epistemic games. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 385-392). International Society of the Learning Sciences.
Abstract: Engaging students in epistemic practices, including explanation, modeling, and sense-making more generally, has become an important focus of science education. This paper draws from two theoretical frameworks: epistemic forms and games and knowledge in pieces, to create a framework for building fine-grained models of the knowledge involved in scientist and student engagement in epistemic games. The epistemic systems framework (ESF) features two main components: one perceptual and one cognitive. The perceptual component includes the perceptual strategies the individual uses to extract raw information from the world. The cognitive component includes the network of knowledge the individual uses to make sense of that raw information and turn it into an epistemic artifact (e.g., an explanation or model). The paper presents two case studies to demonstrate how the ESF can be used to model student engagement in both informal and formal epistemic games.
Description: Long Paper
URI: https://doi.org/10.22318/icls2023.864173
https://repository.isls.org//handle/1/10274
Appears in Collections:ISLS Annual Meeting 2023

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