Presents the application of decision-theoretic technique to a computer-based tutoring system for elementary mechanics. Uses sound probabilistic reasoning and a student model to identify learners' misconceptions. Focuses on the integration of Bayesian belief networks, item response theory, decision analysis, and database management systems in computer-assisted tutoring. (Contains 23 references.) (Author/YDS)