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Title: Accessible Computational Thinking in Elementary Science
Authors: Bernier, Jeremy
Figueroa, Francheska
Ha, Jesse
Mak, Janice
Su, Man
Yan, Lin
Nelson, Brian
Cabrera, Lautaro
Kramarczuk, Kristina
Xin, Yue
Ketelhut, Diane Jass
Shockley, Ebony Terrell
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Bernier, J., Figueroa, F., Ha, J., Mak, J., Su, M., Yan, L., Nelson, B., Cabrera, L., Kramarczuk, K., Xin, Y., Ketelhut, D. J., & Shockley, E. T. (2022). Accessible computational thinking in elementary science. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 2024-2025). International Society of the Learning Sciences.
Abstract: Computational thinking (CT) is ubiquitous in modern science, yet rarely integrated at the elementary school level. Moreover, access to computer science education at the PK-12 level is inequitably distributed. We believe that access to CT must be available earlier and implemented with the support of an equitable pedagogical framework. Our poster will describe our Accessible Computational Thinking (ACT) research project exploring professional development with elementary teachers on integrating computational thinking with Culturally Responsive Teaching practices.
Description: Poster
Appears in Collections:ISLS Annual Meeting 2022

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