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Lopez, Antonio M., Jr. – Mathematics and Computer Education, 1989
Provides background material on logic programing and presents PROLOG as a high-level artificial intelligence programing language that borrows its basic constructs from logic. Suggests the language is one which will help the educator to achieve various goals, particularly the promotion of problem solving ability. (MVL)
Descriptors: Artificial Intelligence, College Science, Computer Science, Computer Science Education
Wash, Darrel Patrick – Occupational Outlook Quarterly, 1989
Making a machine seem intelligent is not easy. As a consequence, demand has been rising for computer professionals skilled in artificial intelligence and is likely to continue to go up. These workers develop expert systems and solve the mysteries of machine vision, natural language processing, and neural networks. (Editor)
Descriptors: Artificial Intelligence, Computer Science, Employment Opportunities, Employment Patterns

Johnson, Brian L.; And Others – Computers and Education, 1990
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…
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer System Design, Expert Systems
Dillon, Richard W. – Computing Teacher, 1993
Describes a four-part curriculum that can serve as a model for incorporating artificial intelligence (AI) into the high school computer curriculum. The model includes examining questions fundamental to AI, creating and designing an expert system, language processing, and creating programs that integrate machine vision with robotics and…
Descriptors: Artificial Intelligence, Computer Science Education, Curriculum Design, Curriculum Development

Woolf, Beverly Park – Educational Technology, Research and Development, 1992
Discusses the integration of instructional science and computer science. Topics addressed include motivation for building knowledge-based systems; instructional design issues, including cognitive models, representing student intentions, and student models and error diagnosis; representing tutoring knowledge; building a tutoring system, including…
Descriptors: Computer Assisted Instruction, Computer Science, Computer System Design, Discourse Analysis

Demaid, Adrian; Edwards, Lyndon – European Journal of Engineering Education, 1987
Discusses the nature and current state of knowledge-based systems and expert systems. Describes an expert system from the viewpoints of a computer programmer and an applications expert. Addresses concerns related to materials selection and forecasts future developments in the teaching of materials engineering. (ML)
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Courseware

Carbonell, N.; And Others – Computers and the Humanities, 1986
This article explains how techniques of artificial intelligence are applied to expert systems for acoustic-phonetic decoding, phonological interpretation, and multi-knowledge sources for man-machine dialogue implementation. The basic ideas are illustrated with short examples. (Author/JDH)
Descriptors: Acoustic Phonetics, Artificial Intelligence, Artificial Speech, Computer Science

Bennett, Randy Elliot; And Others – Applied Psychological Measurement, 1990
The relationship of an expert-system-scored constrained free-response item type to multiple-choice and free-response items was studied using data for 614 students on the College Board's Advanced Placement Computer Science (APCS) Examination. Implications for testing and the APCS test are discussed. (SLD)
Descriptors: College Students, Comparative Testing, Computer Assisted Testing, Computer Science

Waldrop, M. Mitchell – Science, 1988
Describes an artificial intelligence system known as SOAR that approximates a theory of human cognition. Discusses cognition as problem solving, working memory, long term memory, autonomy and adaptability, and learning from experience as they relate to artificial intelligence generally and to SOAR specifically. Highlights the status of the…
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, Cognitive Structures
Dyke, John G. – Aspects of Educational and Training Technology Series, 1992
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…
Descriptors: Computer Assisted Instruction, Computer Science Education, Cost Effectiveness, Expert Systems

Gauch, Susan – Journal of the American Society for Information Science, 1992
Discusses the application of artificial intelligence to online information retrieval systems and describes several systems: (1) CANSEARCH, from MEDLINE; (2) Intelligent Interface for Information Retrieval (I3R); (3) Gausch's Query Reformulation; (4) Environmental Pollution Expert (EP-X); (5) PLEXUS (gardening); and (6) SCISOR (corporate…
Descriptors: Artificial Intelligence, Bibliographic Databases, Cancer, Computer Science

Waldrop, M. Mitchell – Science, 1988
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)
Descriptors: Artificial Intelligence, Cognitive Processes, Cognitive Psychology, College Science

Braun, Henry I.; And Others – Journal of Educational Measurement, 1990
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…
Descriptors: Advanced Placement, Computer Assisted Testing, Computer Science, Constructed Response