Formulates decision rules for adapting the appropriate amount of instruction to learning needs in intelligent-tutoring systems. Highlights include minimax decision theory (a minimum information approach), a binomial model, and a comparison of the Bayesian decision component in the Minnesota Adaptive Instructional System and the minimax strategy.…

Discusses users' perceptions of computers versus human beings as advice givers in problem-solving situations based on two studies conducted at Stockholm University (Sweden). Examines people's self-confidence and perception of advice, and concludes that perception relates to existing attitudes, experience, and domain knowledge. (Author/LRW)

Describes a study of ninth-grade students that evaluated the ability of the Word Problem Solving Tutor, a cognitive tutoring system, to improve the abstract-reasoning component of word-problem solving. Compares combinations of traditional instruction, computer-assisted instruction, and the tutoring program and discusses implications for math…