Plan Recognition Strategies in Student Modeling: Prediction and Description

Bob London, William J. Clancey

This paper describes the student modeler of the GUIDON2 tutor, which understands plans by a dual search strategy. It first produces multiple predictions of student behavior by a model-driven simulation of the expert. Focused, data-driven searches then explain incongruities. By supplementing each other, these methods lead to an efficient and robust plan understander for a complex domain.


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