This introductory article defines and delimits expert systems. The discussion covers the concepts of artificial intelligence, the components of an expert system, and the significance of expert systems when compared to more traditional decision making tools. (CLB)

Considers three powerful techniques--heuristics, context trees, and search via backward chaining--that a knowledge engineer might employ to develop an expert system to automate performance engineering, i.e., the branch of instructional technology that focuses on the problems of business and industry. (MBR)

Discusses the heuristics that should guide the creation of good examples to be used in instructional design. The elements of accuracy, clarity, attractiveness, and transferability are described, and an example of the concept of role conflict is given. (LRW)

This discussion of formative evaluation as part of the instructional design process focuses on developmental testing and expert review. A review of the literature helps define each approach, research on formative evaluation is reviewed, and 37 references are provided. (LRW)

Describes interactive games that can be used to encourage students to complete reading assignments, and gives suggestions for improving the usefulness of readings. The games emphasize instructional objectives including verbal fluency, recall of facts, perceiving important points, summarizing, heuristics, debating, and tutorial support. (LRW)