Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/8734
Title: Computational Thinking Into K-12 Classrooms: Experiences and Challenges From Professional Learning Experiences
Authors: Liu, Zhichun
Gearty, Zarina
Richard, Eleanor
Orrill, Chandra
Kayumova, Shakhnoza
Balasubramanian, Ramprasad
Keywords: Learning Sciences
Issue Date: 2022
Publisher: International Society of the Learning Sciences
Citation: Liu, Z., Gearty, Z., Richard, E., Orrill, C., Kayumova, S., & Balasubramanian, R. (2022). Computational thinking into k-12 classrooms: Experiences and challenges from professional learning experiences. In Chinn, C., Tan, E., Chan, C., & Kali, Y. (Eds.), Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022 (pp. 2100-2101). International Society of the Learning Sciences.
Abstract: Teachers often find it challenging to learn computational thinking (CT) and integrate it with classroom learning. In this systematic review, we focus on how professional learning experiences have supported K-12 teachers to integrate CT into their classrooms. The findings suggest some effective strategies for building professional learning experiences but highlight the need for more agreement about the nature of CT.
Description: Poster
URI: https://dx.doi.org/10.22318/icls2022.2100
https://repository.isls.org//handle/1/8734
Appears in Collections:ISLS Annual Meeting 2022

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