Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/8951
Title: The Role of Action-Prediction in Mathematical Reasoning
Authors: Xia, Fangli
Schenck, Kelsey E.
Swart, Michael I.
Nathan, Mitchell J.
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Xia, F., Schenck, K. E., Swart, M. I., & Nathan, M. J. (2022). The role of action-prediction in mathematical reasoning. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 1469-1472). International Society of the Learning Sciences.
Abstract: Action-cognition transduction (ACT) posits how body movements support actors’ inference making by activating feedforward and feedback mechanisms in consideration of plausible outcomes. Following ACT, we investigated whether prompting people to predict future body states (i.e., feedforward processes) facilitates mathematical reasoning. In this randomized 2x2 factorial experiment, undergraduate students (N = 127) performed directed actions (Yes/No) or generated predictions (Yes/No) prior to justifying the veracity of geometry conjectures. As predicted by ACT, directing participants to mimic cognitively relevant directed actions facilitated mathematical insight, though moderated by task demands. Moreover, merely prompting participants to predict movements, with or without performing directed actions, also enhanced proof performance. This study provides insights into how body-based simulation induces inference-making in support of conceptual understanding for mathematical transfer and generalization.
Description: Short Paper
URI: https://dx.doi.org/10.22318/icls2022.1469
https://repository.isls.org//handle/1/8951
Appears in Collections:ISLS Annual Meeting 2022

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