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ERIC Number: ED347052
Record Type: RIE
Publication Date: 1990-Jul
Pages: 85
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Functional Knowledge in Problem Solving.
Greeno, James G.; Berger, Daniel
An experiment compared solving of operational and diagnostic problems after different instruction about a fictitious device. Solution of both kinds of problems was facilitated by instruction (1) that focused on functional relations among components of the device or (2) that focused on states of the individual components. For operational problems, this result contrasted with an earlier finding (Greeno & Berger, 1987) that only functional instruction facilitated inference and learning of operational procedures. In this study, component instruction included information about the states of switches and all participants saw a diagram of the device with information about connections between components. Both results are consistent with a characterization of relevant device-model knowledge by Kieras (1984) as including knowledge of device topology: connections between components and relations of connections to the controlling operations and indicators of the device. Comparison of information in the instructional conditions with planning nets for the operating procedures showed that functional instruction included needed information about connections between components and that component instruction included needed information about states of switches that determine connections between components. For diagnostic tasks, while solutions of problems was facilitated by both component and functional instruction, some aspects of problem-solving strategy were facilitated only by functional instruction, indicating that the organization of diagnostic problem solving probably depends on integrative features of the problem solver's mental model of the device. (Author/KR)
Publication Type: Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Cognitive and Neural Sciences Div.
Authoring Institution: Stanford Univ., CA.