AAAI Publications, Twenty-Third International FLAIRS Conference

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Computational Aspects of the Intelligent Tutoring System MetaTutor
Vasile Rus, Mihai Lintean, Roger Azevedo

Last modified: 2010-05-06

Abstract


We present in this paper the architecture of MetaTutor, an intelligent tutoring system that teaches students meta-cognitive strategies while learning about complex science topics. A more in-depth presentation of the micro-dialogue component in MetaTutor is provided. This component handles the meta-cognitive strategy of subgoal generation. This strategy involves subgoal assessment and feedback generation. We present a taxonomy-driven method for subgoal assessment and feedback. The method yields very good to excellent human-computer agreement scores for subgoal assessment (average kappa=0.77).

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