Explores how a set of possible student misconceptions about solving a complex problem can be used in computer-based intelligent tutoring systems and in computer-based exercise and test generation. Topics discussed include expert systems, misconception covers, discrimination trees, methods of acquiring the set of misconceptions, and protocol…

A general analysis of the learning process precedes the discussion of a teaching model designed to provide effective control of the process of attaining knowledge. Features of the model discussed include preliminary knowledge, motivation, presentation and activities, feedback, and planning the assimilation process of a complete subject. A 21-item…