The Interaction Between Knowledge and Practice in the Acquisition of Cognitive Skills

  • Stellan Ohlsson
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 194)

Abstract

The role of prior knowledge in skill acquisition is to enable the learner to detect and to correct errors. Computational mechanisms that carry out these two functions are implemented in a simulation model which represents prior knowledge in constraints. The model learns symbolic skills in mathematics and science by noticing and correcting constraint violations. Results from simulation runs include quantitative predictions about the learning curve and about transfer of training. Because constraints can represent instructions as well as prior knowledge, the model also simulates one-on-one tutoring. The implications for the design of instruction include a detailed specification of the content of effective feedback messages for intelligent tutoring systems.

Keywords

Production Rule Skill Acquisition Constraint Violation Procedural Knowledge Training Task 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer Science+Business Media New York 1993

Authors and Affiliations

  • Stellan Ohlsson
    • 1
  1. 1.Learning Research and Development CenterUniversity of PittsburghUSA

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