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Related Experiment Videos

Division by multiplication.

J I Campbell1

  • 1Department of Psychology, University of Saskatchewan, Saskatoon, Canada. jamie.campbell@usask.ca

Memory & Cognition
|November 30, 1999
PubMed
Summary
This summary is machine-generated.

This study explored how math problem-solving skills transfer between multiplication and division. Results show that while identical problems yield the most transfer, conceptual links between multiplication and division also aid performance.

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Area of Science:

  • Cognitive Psychology
  • Mathematics Education
  • Human Memory

Background:

  • Investigates item-specific transfer in arithmetic, specifically multiplication and division.
  • Examines the applicability of the identical-elements model to mathematical fact retrieval.
  • Considers the role of conceptual correspondences in skilled adult performance.

Purpose of the Study:

  • To test the identical-elements model's predictions regarding transfer in multiplication and division.
  • To explore how response time savings differ between identical and inverted arithmetic problems.
  • To determine if multiplication aids in solving large-number division problems.

Main Methods:

  • Two experiments were conducted involving prime and probe arithmetic problems.

Related Experiment Videos

  • Response times (RT) were measured to assess transfer savings.
  • Problems included identical (e.g., 7x9, 7x9) and inverted (e.g., 9x7, 7x9) formats.
  • Main Results:

    • Larger RT savings were observed for identical division problems compared to inverted ones.
    • Multiplication and inverted multiplication problems showed equivalent transfer.
    • Significant transfer occurred between inverted division problems, and multiplication mediated division.

    Conclusions:

    • Findings partially support the identical-elements model but also highlight mediated transfer.
    • Skilled adults efficiently use conceptual links between multiplication and division.
    • Distinguishing associative from mediated transfer refines understanding of cognitive models.