Self-Explanation of Worked Examples Integrated in an Intelligent Tutoring System Enhances Problem Solving and Efficiency in Algebra

Nicholas Vest, Elena Silla, Anna N. Bartel, Tomohiro Nagashima, Vincent Aleven, Martha W. Alibali. Self-Explanation of Worked Examples Integrated in an Intelligent Tutoring System Enhances Problem Solving and Efficiency in Algebra. In Jennifer Culbertson, Hugh Rabagliati, VerĂ³nica C. Ramenzoni, Andrew Perfors, editors, Proceedings of the 44th Annual Meeting of the Cognitive Science Society, CogSci 2022, Toronto, ON, Canada, July 27-30, 2022. cognitivesciencesociety.org, 2022. [doi]

Abstract

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