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  1. Process of understanding in problem solving.James G. Greeno - 1977 - Cognitive Theory 2:43-83.
    The following values have no corresponding Zotero field: PB - Erlbaum Hillsdale, NJ.
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  • The plan recognition problem: An intersection of psychology and artificial intelligence.C. F. Schmidt, N. S. Sridharan & J. L. Goodson - 1978 - Artificial Intelligence 11 (1-2):45-83.
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  • (1 other version)Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems.Michelene T. H. Chi, Miriam Bassok, Matthew W. Lewis, Peter Reimann & Robert Glaser - 1989 - Cognitive Science 13 (2):145-182.
    The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...)
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  • (1 other version)Self‐Explanations: How Students Study and Use Examples in Learning to Solve Problems.Michelene T. H. Chi, Miriam Bassok, Matthew W. Lewis, Peter Reimann & Robert Glaser - 1989 - Cognitive Science 13 (2):145-182.
    The present paper analyzes the self‐generated explanations (from talk‐aloud protocols) that “Good” and “Poor” students produce while studying worked‐out examples of mechanics problems, and their subsequent reliance on examples during problem solving. We find that “Good” students learn with understanding: They generate many explanations which refine and expand the conditions for the action parts of the example solutions, and relate these actions to principles in the text. These self‐explanations are guided by accurate monitoring of their own understanding and misunderstanding. Such (...)
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