Abstract
The goal of our work is to produce a process model account of education in microworlds based on Soar, a theory of cognition and learning. In the context of a microworld that supports the exploration of qualitative electrostatics, we present operational models of both skilled and student interaction. In addition, we describe an episodic memory mechanism encoded in the student model that gives insight into the processes involved in learning from incorrect behavior.
This research was sponsored by the Markle Foundation. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing official policies, either expressed or implied, of the Markle Foundation.
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© 1993 Springer-Verlag Berlin Heidelberg
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Conati, C., Lehman, J.F. (1993). EFH-Soar: Modeling education in highly interactive microworlds. In: Torasso, P. (eds) Advances in Artificial Intelligence. AI*IA 1993. Lecture Notes in Computer Science, vol 728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57292-9_41
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DOI: https://doi.org/10.1007/3-540-57292-9_41
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