Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10832
Title: Computational Thinking Integration as Trojan Horse for Teachers’ Rethinking Science and Mathematics Teaching and Learning
Authors: Elby, Andrew
Moon, Peter F.
Sohr, Erin
Walkoe, Janet
Walton, Margaret
Gresalfi, Melissa S.
Krist, Christina
Wilkerson, Michelle
Keywords: Learning Sciences
Issue Date: 2024
Publisher: International Society of the Learning Sciences
Citation: Elby, A., Moon, P. F., Sohr, E., Walkoe, J., Walton, M., Gresalfi, M. S., Krist, C., & Wilkerson, M. (2024). Computational Thinking Integration as Trojan Horse for Teachers’ Rethinking Science and Mathematics Teaching and Learning. In Lindgren, R., Asino, T. I., Kyza, E. A., Looi, C. K., Keifert, D. T., & Suárez, E. (Eds.), Proceedings of the 18th International Conference of the Learning Sciences - ICLS 2024 (pp. 1879-1885). International Society of the Learning Sciences.
Abstract: Mathematics and science teacher educators have worked to help current and pre-service teachers understand “computational thinking” (CT) and integrate it into their lessons. This structured poster session highlights an unexpected phenomenon we have observed across multiple contexts: teacher education efforts aimed at CT integration didn’t achieve their stated goals but somehow led teachers to rethink what counts as good mathematics/science inquiry and learning. We don’t have a well-supported explanation for this phenomenon. The session aims to bring together scholars who study CT, CT integration, and STEM teacher education—the presenters and the session attendees—to explore the nature of this unexpected phenomena and brainstorm potential explanations to explore in future research.
Description: Symposium
URI: https://doi.org/10.22318/icls2024.432296
https://repository.isls.org//handle/1/10832
Appears in Collections:ISLS Annual Meeting 2024

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