Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/10962
Title: Mapping the Complexities of Teacher Change: A Conjecture Mapping Approach to Designing Computational Thinking Professional Development
Authors: Liu, Zhichun
Liu, Ruohan
Orrill, Chandra
Kayumova, Shakhnoza
Balasubramanian, Ramprasad
Keywords: Learning Sciences
Issue Date: 2024
Publisher: International Society of the Learning Sciences
Citation: Liu, Z., Liu, R., Orrill, C., Kayumova, S., & Balasubramanian, R. (2024). Mapping the Complexities of Teacher Change: A Conjecture Mapping Approach to Designing Computational Thinking Professional Development. 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. 2255-2256). International Society of the Learning Sciences.
Abstract: This empirical case study utilizes conjecture mapping to capture and systematically map conjectures about the support needed for K-12 teachers to incorporate computational thinking into teaching. The case analysis highlighted a teacher’s year-long professional development experience focused on integrating computational thinking. The evolving conjecture map provides a framework to trace and understand relationships between the learning designs, activities, and teacher outcomes. Using rich data from the teacher's experience, the study tests and refines the hypothesized connections laid out in the original conjecture map to build an understanding of effective computational thinking professional development design.
Description: Poster
URI: https://doi.org/10.22318/icls2024.622417
https://repository.isls.org//handle/1/10962
Appears in Collections:ISLS Annual Meeting 2024

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