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| Computer Assisted Instruction | 3 |
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| Machine-Mediated Learning | 4 |
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| Brown, G. Z. | 1 |
| Ferguson, David L. | 1 |
| Frederiksen, John R. | 1 |
| Henderson, Peter B. | 1 |
| Novitski, Barbara-Jo | 1 |
| Peterson, Nils S. | 1 |
| White, Barbara Y. | 1 |
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| Journal Articles | 4 |
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Peer reviewedFerguson, David L.; Henderson, Peter B. – Machine-Mediated Learning, 1987
Designed initially for use in college computer science courses, the model and computer-aided instructional environment (CAIE) described helps students develop algorithmic problem solving skills. Cognitive skills required are discussed, and implications for developing computer-based design environments in other disciplines are suggested by…
Descriptors: Algorithms, Classroom Environment, Cognitive Ability, Computer Assisted Instruction
Peer reviewedBrown, G. Z.; Novitski, Barbara-Jo – Machine-Mediated Learning, 1987
Discusses educational software under development at the University of Oregon which enables architecture students to consider energy conservation ideas early in the design process. The role of the computer in design-oriented software is described, with emphasis on creative experimentation that allows synthesis and analysis. (Author/LRW)
Descriptors: Architectural Education, Building Design, Computer Assisted Instruction, Computer Graphics
Peer reviewedFrederiksen, John R.; White, Barbara Y. – Machine-Mediated Learning, 1988
Examines ways in which intelligent tutoring systems can be used to develop models of a student's domain knowledge, problem solving abilities, and learning strategies. Cognitive skills assessment is discussed, and an example of a problem based tutoring system, Qualitative Understanding of Electrical System Troubleshooting (QUEST), is explained. (25…
Descriptors: Cognitive Processes, Computer Assisted Testing, Computer System Design, Diagnostic Tests
Peer reviewedPeterson, Nils S.; And Others – Machine-Mediated Learning, 1987
This discussion of teaching science as a design activity emphasizes open-ended problem solving. Highlights include the relationship between teachers and students; hypotheses as solutions; and descriptions of four microworlds, or computer simulations, in chemistry, geography, physiology, and genetics which use graphic interfaces. (LRW)
Descriptors: Chemistry, Computer Assisted Instruction, Computer Graphics, Computer Simulation


