Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/9883
Title: Making Sense of Modes in Collective Embodied Science Activities
Authors: Steinberg, Selena
Zhou, Mengxi
Vickery, Morgan
Mathayas, Nitasha
Danish, Joshua
Keywords: Learning Sciences
Issue Date: 2023
Publisher: International Society of the Learning Sciences
Citation: Steinberg, S., Zhou, M., Vickery, M., Mathayas, N., & Danish, J. (2023). Making sense of modes in collective embodied science activities. In Blikstein, P., Van Aalst, J., Kizito, R., & Brennan, K. (Eds.), Proceedings of the 17th International Conference of the Learning Sciences - ICLS 2023 (pp. 1218-1221). International Society of the Learning Sciences.
Abstract: In this paper, we explore how students navigate collective mixed-reality embodied science activities in two contexts. We analyzed students’ interactions using a mediated discourse analysis approach by creating bubble maps that captured modal density: the modal complexity (frequency and number of modes) and modal intensity (how much attention participants give to each mode) during embodied modeling and how these maps highlighted participants’ engagement with science. We found that the content of the models shaped the modes that were relevant for participation and how the modelers interacted with each other.
Description: Short Paper
URI: https://doi.org/10.22318/icls2023.111240
https://repository.isls.org//handle/1/9883
Appears in Collections:ISLS Annual Meeting 2023

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