Introducing computational modeling into STEM classrooms can provide opportunities for the simultaneous learning of computational thinking (CT) and STEM. This paper describes the C2STEM modeling environment for learning physics, and the processes students can apply to their learning and modeling tasks. We use an unsupervised learning method to characterize student learning behaviors and how these behaviors relate to learning gains in STEM and CT.
CITATION STYLE
Hutchins, N., Biswas, G., Grover, S., Basu, S., & Snyder, C. (2019). A systematic approach for analyzing students’ computational modeling processes in C2STEM. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11626 LNAI, pp. 116–121). Springer Verlag. https://doi.org/10.1007/978-3-030-23207-8_22
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