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Wilkins, D. C.; And Others – 1987
Arguing that an explicit representation of the problem-solving method of an expert system shell as abstract control knowledge provides a powerful foundation for learning, this paper describes the abstract control knowledge of the Heracles expert system shell for heuristic classification problems, and describes how the Odysseus apprenticeship…
Descriptors: Apprenticeships, Classification, Computer Assisted Instruction, Computer System Design

Hofmeister, Alan M.; Thorkildsen, Ron – Journal of Special Education Technology, 1986
The development of computer-assisted and computer-managed instruction for handicapped students involves a number of instructional design issues requiring research. Discussed are algorithmic and heuristic procedures, individual rate of learning, feedback, and instructional task hierarchies.(Author/DB)
Descriptors: Algorithms, Computer Assisted Instruction, Computer Managed Instruction, Disabilities

Langley, Pat; Carbonell, Jaime G. – Journal of the American Society for Information Science, 1984
Reviews approaches to machine learning (development of techniques to automate acquisition of new information, skills, and ways of organizing existing information) in symbolic domains. Four categorical tasks addressed in machine learning literature are examined: learning from examples, learning search heuristics, learning by observation, and…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Oriented Programs, Heuristics
Dear, Brian L. – Educational Technology, 1986
Introduces some general concepts and techniques of artificial intelligence (natural language interfaces, expert systems, knowledge bases and knowledge representation, heuristics, user-interface metaphors, and object-based environments) and investigates ways these techniques might be applied to analysis, design, development, implementation, and…
Descriptors: Artificial Intelligence, Authoring Aids (Programing), Change Strategies, Computer Assisted Instruction

Bump, Jerome – Computers and Education, 1987
Reviews the use of computers in the teaching and practice of writing in university courses. Highlights include hardware considerations; software options for grammar, punctuation, stylistic analysis, and prewriting (or invention) skills; artificial intelligence, composition, and literature; collaborative learning; and faculty development. (LRW)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Courseware, Faculty Development

Mayes, Robert L. – School Science and Mathematics, 1992
Presents a study to determine whether computer use in guided-discovery learning episodes would enhance the problem-solving ability of secondary school students (n=147). Results indicate interaction between low- and middle-level students' mathematical achievement and treatment groups, while high-level students performed well regardless of approach.…
Descriptors: Computer Assisted Instruction, Courseware, Discovery Learning, Heuristics

Ferree, Rob A.; And Others – Journal of Geological Education, 1988
Describes a deterministic computer model that incorporates: (1) initial framework composition; (2) abrasion factors for quartz, feldspar, and rock fragments; and (3) a fragmentation ratio for rock fragments to simulate the recycling of coastal sands by rivers and beaches. (TW)
Descriptors: College Science, Computer Assisted Instruction, Computer Simulation, Computer Uses in Education

Misale, Judi M.; And Others – Teaching of Psychology, 1996
Describes a computer-assisted, interdisciplinary course in decision making developed to promote student participation and critical thinking. Students participate in 20 interactive exercises that utilize and illustrate psychological and economic concepts. Follow-up activities include receiving background information, group discussions, text…
Descriptors: Active Learning, Computer Assisted Instruction, Computer Uses in Education, Critical Thinking

Bradford, James H.; Cote-Laurence, Paulette – Computers and the Humanities, 1995
Describes an experimental computer program that attempts to simulate a choreographers' knowledge and expertise. The user expresses a set of rules that describe some of the dynamic aspects of a dance. These rules are applied nondeterministically by a "rule driver" program. The rule driver embodies a heuristic algorithm. (MJP)
Descriptors: Artificial Intelligence, Cognitive Processes, Computer Assisted Instruction, Computer Oriented Programs