The Power of Nudging: Exploring Three Interventions for Metacognitive Skills Instruction across Intelligent Tutoring Systems
March 18, 2023 Β· Declared Dead Β· π Annual Meeting of the Cognitive Science Society
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Authors
Mark Abdelshiheed, John Wesley Hostetter, Preya Shabrina, Tiffany Barnes, Min Chi
arXiv ID
2303.11965
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.LG,
cs.LO
Citations
9
Venue
Annual Meeting of the Cognitive Science Society
Last Checked
4 months ago
Abstract
Deductive domains are typical of many cognitive skills in that no single problem-solving strategy is always optimal for solving all problems. It was shown that students who know how and when to use each strategy (StrTime) outperformed those who know neither and stick to the default strategy (Default). In this work, students were trained on a logic tutor that supports a default forward-chaining and a backward-chaining (BC) strategy, then a probability tutor that only supports BC. We investigated three types of interventions on teaching the Default students how and when to use which strategy on the logic tutor: Example, Nudge and Presented. Meanwhile, StrTime students received no interventions. Overall, our results show that Nudge outperformed their Default peers and caught up with StrTime on both tutors.
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