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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 |
Files in This Item:
File | Size | Format | |
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ICLS2024_2255-2256.pdf | 267.64 kB | Adobe PDF | View/Open |
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