Please use this identifier to cite or link to this item:
https://repository.isls.org//handle/1/10574
Title: | Understanding Knowledge Building Processes using Epistemic Network Analysis and Sequential Analysis |
Authors: | Zhang, Xiaojie Chan, Carol K. K. Feng, Shihui Zhao, Jianhua |
Keywords: | CSCL |
Issue Date: | 2024 |
Publisher: | International Society of the Learning Sciences |
Citation: | Zhang, X., Chan, C. K., Feng, S., & Zhao, J. (2024). Understanding Knowledge Building Processes using Epistemic Network Analysis and Sequential Analysis. In Clarke-Midura, J., Kollar, I., Gu, X., & D'Angelo, C. (Eds.), Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning - CSCL 2024 (pp. 399-400). International Society of the Learning Sciences. |
Abstract: | This study investigated the knowledge building processes of 50 Grade-Five students in a collaborative inquiry about the history and evolution of Chinese characters. Epistemic network analysis and sequential analysis were employed to investigate how students contribute to the community knowledge advances within the Initial Phase and Theory-Building Phase. The temporal co-occurrence patterns and sequential patterns between questioning, explanation, and regulation processes were examined. This study sheds light on understanding KB processes from a temporal dynamic perspective. |
Description: | Poster |
URI: | https://doi.org/10.22318/cscl2024.699729 https://repository.isls.org//handle/1/10574 |
Appears in Collections: | ISLS Annual Meeting 2024 |
Files in This Item:
File | Size | Format | |
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CSCL2024_399-400.pdf | 305.02 kB | Adobe PDF | View/Open |
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