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| Performance and Instruction | 7 |
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| Katz, Samuel | 1 |
| Kerr, Robert H. | 1 |
| Pipe, Peter | 1 |
| Yelon, Stephen | 1 |
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| Journal Articles | 7 |
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| Guides - Non-Classroom | 1 |
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Grabinger, R. Scott – Performance and Instruction, 1988
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)
Descriptors: Algorithms, Decision Making, Expert Systems, Heuristics
Harmon, Paul – Performance and Instruction, 1983
This approach to task analysis includes descriptions of (1) inputs, outputs, and jobs; (2) flow of materials and decisions between jobs; (3) inputs, major tasks, and outputs of each job; (4) sequence of steps for major tasks; (5) heuristics/algorithms for each sequence step; and (6) information needed to use heuristics algorithms. (EAO)
Descriptors: Algorithms, Flow Charts, Job Analysis, Occupational Information
Harmon, Paul – Performance and Instruction, 1984
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)
Descriptors: Algorithms, Artificial Intelligence, Computer Software, Educational Technology
Kerr, Robert H. – Performance and Instruction, 1987
Discusses how performance technologists, or trainers, can provide more impact in reducing field performance deficiencies by gathering feedback from the field regarding training matters. A feedback generator is described that is expressed in terms of an algorithm and helps point to solutions to improve productivity. (LRW)
Descriptors: Algorithms, Feedback, Improvement Programs, Job Training
Harmon, Paul; Pipe, Peter – Performance and Instruction, 1986
Describes design and presents examples of industrial use of small expert systems and guidelines for choosing problems which lend themselves to small tool solutions. Use of microcomputer facilitated decision tables to diagnose and categorize people, things, and issues is suggested, and development of three decision table formats is described. (MBR)
Descriptors: Algorithms, Artificial Intelligence, Decision Making, Design
Yelon, Stephen – Performance and Instruction, 1992
Guidelines for the integration of effective and efficient practice into the lecture format of higher education curricula are outlined and discussed. An algorithm for incorporating active learning into lecture courses is provided, with examples and discussion of possible constraints. (four references) (EA)
Descriptors: Algorithms, Experiential Learning, Flow Charts, Guidelines
Katz, Samuel; Bollettino, Ruth – Performance and Instruction, 1981
Explores the nature of the differences between end-of-training behavior and job behavior, the means by which end-of-training behavior is produced, and ways to minimize problems with the transfer of learning from off site training programs to the job. (Author/LLS)
Descriptors: Algorithms, Instructional Development, Job Performance, Job Skills
