Virtual laboratories that enable novice scientists to construct, evaluate and revise models of complex systems heavily involve parameter estimation tasks. We seek to understand novice strategies for parameter estimation in model exploration to design better cognitive supports for them. We conducted a study of 50 college students for a parameter estimation task in exploring an ecological model. We identified three types of behavioral patterns and their underlying cognitive strategies. Specifically, the students used systematic search, problem decomposition and reduction, and global search followed by local search as their cognitive strategies.
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Ashok Goel: CogSci 2022
Sungeun An: Presentation at The 23rd International Conference on Artificial Intelligence in Education.
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XPrize has selected Georgia Tech’s Veritas team for the round of 10 teams in the Digital Learning Challenge