Self-Explanations: How Students Study and Use Examples in Learning to Solve Problems.

Abstract

The present paper analyzes in detail (talk-aloud protocols) 'Good' and 'Poor' students' initial encoding of 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 comprehension failures and successes. Such learning results in an example-independent knowledge and in a better understanding of the principles presented in the text. 'Poor' students do not generate sufficient self-explanations, inaccurately monitor their learning and subsequently rely heavily on examples. The results are discussed relating these psychological findings to existing AI models of explanation-based generalizations. Keywords: Cognitive monitoring, Self-explanation, Physics.

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Document Details

Document Type
Technical Report
Publication Date
Nov 03, 1987
Accession Number
ADA187035

Entities

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  • Matthew W. Lewis
  • Michelene T. Chi
  • Peter Reimann
  • Robert Glaser

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  • University of Pittsburgh

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