Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/7322
Title: Analyzing Debugging Processes during Collaborative, Computational Modeling in Science
Authors: Hutchins, Nicole M.
Snyder, Caitlin
Emara, Mona
Grover, Shuchi
Biswas, Gautam
Keywords: CSCL
Issue Date: Jun-2021
Publisher: International Society of the Learning Sciences
Citation: Hutchins, N. M., Snyder, C., Emara, M., Grover, S., & Biswas, G. (2021). Analyzing Debugging Processes during Collaborative, Computational Modeling in Science. In Hmelo-Silver, C. E., De Wever, B., & Oshima, J. (Eds.), Proceedings of the 14th International Conference on Computer-Supported Collaborative Learning - CSCL 2021 (pp. 221-224). Bochum, Germany: International Society of the Learning Sciences.
Abstract: This paper develops a systematic approach to identifying and analyzing high school students’ debugging strategies when they work together to construct computational models of scientific processes in a block-based programming environment. We combine Markov models derived from students’ activity logs with epistemic network analysis of their collaborative discourse to interpret and analyze their model building and debugging processes. We present a contrasting case study that illustrates the differences in debugging strategies between two groups of students and its impact on their model-building effectiveness.
URI: https://doi.dx.org/10.22318/cscl2021.221
https://repository.isls.org//handle/1/7322
Appears in Collections:ISLS Annual Meeting 2021

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