Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10148
Title: Computational Tinkering With Movement in Embodied Models
Authors: Anton, Gabriella
Ayalon, Efrat
Mathayas, Nitasha
Zhou, Mengxi
Danish, Joshua
Enyedy, Noel
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Anton, G., Ayalon, E., Mathayas, N., Zhou, M., Danish, J., & Enyedy, N. (2023). Computational tinkering with movement in embodied models. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 2035-2036). International Society of the Learning Sciences.
Abstract: We suggest that tinkering is implicit in movement and changes to movement while exploring embodied models, as students must interpret and react in real time to the system outcomes. Using movement analysis, we explore the ways that physical movement fosters and reflects computational tinkering across episodes in two embodied science models. We argue that patterns and shifts in movement may be a window into the computational growth that takes place as learners participate in the modeling environment.
Description: Poster
URI: https://doi.org/10.22318/icls2023.903525
https://repository.isls.org//handle/1/10148
Appears in Collections:ISLS Annual Meeting 2023

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