Adaptive Processing in a Medical Intelligent Tutoring System

CIRCSIM-Tutor v. 3 is a dialogue-based intelligent tutoring system (ITS) that uses a uniform plan operator representation to make decisions at all levels of dialogue generation. It was designed to allow dynamic adaptation to the student at five levels of detail as the (typed) conversation progresses. In this paper we describe the studies that we used to make design decisions, including analysis of transcripts of human tutoring sessions, use of C4.5/C5.0, and user studies using an earlier version of the system. We are particularly interested in distinguishing decisions that are best made using user model information from those where recent dialogue history is the most relevant input.

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