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Ruyle, Kim E. – Industrial Education, 1986
Explores an artificial intelligence expert system authoring tool called EXSYS. Describes the system, which consists of an instruction manual and several floppy disks containing a rule editor for creating, editing, and experimenting with an expert system, a runtime program for running any existing EXSYS expert system, and several tutorial and…
Descriptors: Artificial Intelligence, Computers, Editing, Expert Systems
Kearsley, Greg – Performance and Instruction, 1985
Discusses structure, credibility, and use of the Computer Based Training (CBT) Advisor, an expert system designed to help managers make judgements about course selection, system selection, cost/benefits, development effort, and probable success of CBT projects. (MBR)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software, Decision Making
Peer reviewedParamskas, D. M. – Canadian Modern Language Review, 1986
Theories and models of artificial intelligence that may have applications in second language learning and instruction are described and their potential use is discussed. (MSE)
Descriptors: Artificial Intelligence, Classroom Techniques, Computer Assisted Instruction, Information Theory
Peer reviewedHasselbring, Ted S. – Special Services in the Schools, 1986
The potential application of "expert systems" to the diagnosis and assessment of special-needs children is examined and existing prototype systems are reviewed. The future of this artificial intelligence technology is discussed in relation to emerging development tools designed for the creation of expert systems by the lay public. (Author)
Descriptors: Artificial Intelligence, Computer Software, Disabilities, Elementary Secondary Education
Peer reviewedHasselbring, Ted S.; Gray, Jacquelyn T. – Peabody Journal of Education, 1984
Good teacher decision making is the most basic skill in effecting positive student outcome. The quality of preactive, interactive, and postactive decisions can be greatly enhanced while reducing the effort required for training through the use of microcomputer training. The result will be an increase in student achievement. (MT)
Descriptors: Artificial Intelligence, Computer Managed Instruction, Decision Making Skills, Elementary Secondary Education
Harmon, Paul – Performance and Instruction, 1985
Briefly discusses three different approaches to instruction and differences between education and training, and proposes a system for categorizing different types of instructional software currently available: memorization software for education (drill and practice) and for training (simulations), and performance aid software (intelligent computer…
Descriptors: Artificial Intelligence, Classification, Computer Simulation, Courseware
Peer reviewedBlanchard, Jay S. – Journal of Reading, 1984
Examines some of the computer based literacy projects designed to combat illiteracy in the military and discusses some of the nonmilitary applications of these efforts. (HOD)
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Computer Software, Literacy Education
Peer reviewedBaron, R. J. – International Journal Of Man-Machine Studies, 1974
A report which describes a theory and corresponding model for the neural basis of language. A detailed functional description is given for elementary visual-linguistic processes. (Author)
Descriptors: Artificial Intelligence, Language, Language Research, Linguistic Theory
Bearden, Donna; Muller, Jim – InCider, 1983
In addition to turtle graphics, the Logo programing language has list and text processing capabilities that open up opportunities for word games, language programs, word processing, and other applications. Provided are examples of these applications using both Apple and MIT Logo versions. Includes sample interactive programs. (JN)
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Programs, Elementary Education
Peer reviewedSchank, Roger C. – Intelligence, 1980
The ability to generalize is probably the primary aspect of intelligence. The computer's inability to generalize is the major stumbling block associated with machine intelligence. (Author/CP)
Descriptors: Artificial Intelligence, Cognitive Processes, Computers, Editorials
Peer reviewedBonczek, Robert H.; And Others – Decision Sciences, 1979
Explores the extent to which computer facilities can be used to support organizational decision-making processes beyond mere performance of information retrieval. Human perceptual and judgmental processes, as they apply to organizational decisions, are examined as a basis for the design of a generalized, intelligent problem processor. (Author/RAO)
Descriptors: Artificial Intelligence, Computer Oriented Programs, Data Processing, Decision Making Skills
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
Peer reviewedPearsall, Jayne – Information Services and Use, 1990
Provides background on the problems of traditional text retrieval systems and describes STATUS/IQ, an advanced text retrieval system that incorporates a natural language front-end and an advanced relevance ranking facility. The principles, capabilities, and benefits of the system are discussed, and an example of a STATUS/IQ session is presented…
Descriptors: Artificial Intelligence, Computer System Design, Gateway Systems, Information Retrieval
Gecsei, Jan; Martin, Daniel – Optical Information Systems, 1989
Discusses browsing in the particular context of visual and multimedia (e.g., videodisc) information databases and describes a working prototype system based on a fisheye view of documents in their context. Topics discussed include selecting and presenting information, exploratory access to information, artificial intelligence, user needs, and…
Descriptors: Artificial Intelligence, Databases, Documentation, Information Retrieval
Peer reviewedNyns, Roland R. – System, 1989
Describes the architecture of an Intelligent Computer Language Learning (ICALL) system, and argues that the knowledge of a language required for teaching cannot be adequately represented in an ICALL system's database. Positive uses of computer-assisted language learning suited for the teaching of specific skills are discussed. 22 references.…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Instructional Effectiveness, Relevance (Education)


