Abstract
The SE-Coach is a tutoring system that supports students in applying the learning strategy known as self-explanation — the process of clarifying to oneself the solution of an example. In this paper, we describe the student model used by the SE-Coach to assess the students’ self-explanations and to provide hints to improve them. The assessment is based on the student’s prior physics knowledge and on the student’s studying actions. We describe a version of the user model based on a Bayesian network, and a simplified version that is more efficient but handles only examples with no inferential gaps in the solution.
This research-is sponsored by ONR’s Cognitive Science Division under grant N00014-96-1-0260.
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References
Conati, C., Gertner, A., VanLehn, K., & Druzdzel, M. (1997a). On-line student modeling for coached problem solving using Bayesian networks. In Jameson, A., Paris, C, and Tasso, C. (Eds.), User Modeling: Proc. of the Sixth International conference, UM97. New York: Springer 231–242.
Conati, C., Larkin, J., and VanLehn, K. (1997b). A computer framework to support self-explanation. In Proc. of the Eighth World Conference of Artificial Intelligence in Education 279–286.
Conati, C., and VanLehn, K. (1999). Teaching meta-cognitive skills: implementation and evaluation of a tutoring system to guide self-explanation while learning from examples. To appear In Proc. of the Ninth World Conference of Artificial Intelligence in Education.
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© 1999 Springer Science+Business Media New York
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Conati, C., VanLehn, K. (1999). A Student Model to Assess Self-Explanation while Learning from Examples. In: Kay, J. (eds) UM99 User Modeling. CISM International Centre for Mechanical Sciences, vol 407. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2490-1_32
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DOI: https://doi.org/10.1007/978-3-7091-2490-1_32
Publisher Name: Springer, Vienna
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