Discusses the teaching consultant process in computer programing courses, describes a teaching consultant model from both the teachers' and students' perspectives, and shows how this model can be used to develop an intelligent teaching consultant (ITC). Differences between this collection of expert systems and conventional intelligent tutoring…

This paper addresses the problem of probabilistic reasoning as it applies to Truth Maintenance Systems (TMS). A computer-based Belief Maintenance System (BMS) has been constructed which manages a current set of probabilistic beliefs in much the same way that a TMS manages a set of true/false beliefs. It may be thought of as a generalization of a…

An overview of the current status of new information technologies (NIT) in teaching, training, research, and administration of higher education internationally includes 25 papers: "The Impact of NITS of Higher Education" (C. Calude and M. Malitza); "Educational Implications of Artificial Intelligence" (M.A. Boden); "On…

Final-year computer studies students in an expert systems class were given conventional tutorials, computerized tutorials, and computer tutorials with a mastery class. Both groups using tutorials out performed the control group; however, no statistically significant difference was found between groups using computer tutorials. Concludes that…

Traces the history and function of State, Operator, And Result (SOAR), a general-purpose artificial intelligence program for solving problems. The SOAR can "chunk" the result of a subgoal and learn from previous experiences. The SOAR could be applied to various expert systems. (YP)

The accuracy with which expert systems (ESs) score a new nonmultiple-choice free-response test item was investigated, using 734 high school students who were administered an advanced-placement computer science examination. ESs produced scores for 82 percent to 95 percent of the responses and displayed high agreement with a human reader on the…