Abstract
The benefits of computational model building in STEM domains are well documented yet the synergistic learning processes that lead to the effective learning gains are not fully understood. In this paper, we analyze the discussions between students working collaboratively to build computational models to solve physics problems. From this collaborative discourse, we identify strategies that impact their model building and learning processes.
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CITATION STYLE
Snyder, C., Hutchins, N., Biswas, G., & Grover, S. (2019). Understanding students’ model building strategies through discourse analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11626 LNAI, pp. 263–268). Springer Verlag. https://doi.org/10.1007/978-3-030-23207-8_49
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