Learning Physics Via Explanation-based Learning of Correctness and Analogical Search Control

Kurt Vanlehn, Randolph M. Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Cascade models humans learning college physics by studying examples and solving problems. It simulates the main qualitative phenomena visible in human protocols of learning, including several strategies for analogical and non-analogical problem solving, and two strategies for studying examples. It learns at the knowledge level by acquiring new physics rules, and it learns search control knowledge. Most importantly, it models a recently observed phenomenon, the selfexplanation effect, which correlates students' example studying strategies with the amount they learn.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Workshop on Machine Learning, ICML 1991
EditorsLawrence A. Birnbaum, Gregg C. Collins
PublisherMorgan Kaufmann Publishers, Inc.
Pages110-114
Number of pages5
ISBN (Electronic)1558602003, 9781558602007
DOIs
StatePublished - 1991
Externally publishedYes
Event8th International Workshop on Machine Learning, ICML 1991 - Evanston, United States
Duration: Jun 1 1991 → …

Publication series

NameProceedings of the 8th International Workshop on Machine Learning, ICML 1991

Conference

Conference8th International Workshop on Machine Learning, ICML 1991
Country/TerritoryUnited States
CityEvanston
Period6/1/91 → …

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software
  • Theoretical Computer Science
  • Artificial Intelligence

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