Cricism-Tutor: An Intelligent Tutoring System for Circulatory Physiology

The aim of this research is to develop an intelligent tutoring system (ITS) which teaches students the causal relationships between the components of the circulatory physiology system and the complex behavior of the negative feedback system that stabilizes blood pressure. This system will accept natural language input from students and generate limited natural language explanations. It contains rules that identify the student's errors and build a “bug-based” student model. It uses tutoring rules to plan each response based on its model of the student and the dialog history so that it can tailor the dialog to fit the student's learning needs. The tutoring rule interpreter manages the dialog and determines strategy and tactics to achieve its educational goals.

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