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Title: Examining Synergistic Learning of Physics and Computational Thinking through Collaborative Problem Solving in Computational Modeling
Computational modeling has been shown to benefit integrated learning of science and computational thinking (CT), however the mechanics of this synergistic learning are not well understood. In this research, we examine discourse during collaborative computational model building through the lens of a collaborative problem solving framework to gain insights into collaboration and synergistic learning of high school physics and CT. We pilot our novel approach in the context of C2STEM, a designed modeling environment, and examine collaboration and synergistic learning episodes in a video capture of a dyad modeling 2D motion with constant velocities. Our findings exhibit the promise of our approach and lay the foundation for guiding future automated approaches to detecting the synergistic learning of science and CT.
Authors:
; ; ; ;
Award ID(s):
1640199
Publication Date:
NSF-PAR ID:
10110249
Journal Name:
Annual Meeting of the American Education Research Association
Sponsoring Org:
National Science Foundation
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