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Related Experiment Videos

Children's strategies in computational estimation.

Patrick Lemaire1, Mireille Lecacheur

  • 1LPC-CNRS, UFR Psychologie, Institut Universitaire de France, Université de Provence, 3 Place Victor Hugo, Case 66, 13331 Marseille, France. lemaire@up.univ-mrs.fr

Journal of Experimental Child Psychology
|September 13, 2002
PubMed
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This study reveals that rounding down is a common estimation strategy for addition problems across all age groups. Strategy use and effectiveness in computational estimation evolve with age, influenced by problem complexity and strategy performance.

Area of Science:

  • Cognitive Psychology
  • Developmental Psychology
  • Educational Psychology

Background:

  • Understanding computational estimation strategies is crucial for cognitive development.
  • Age-related differences in mathematical problem-solving strategies are not fully understood.
  • Investigating estimation strategies provides insights into mathematical cognition.

Purpose of the Study:

  • To investigate strategies used for estimating answers to three-by-three digit addition problems.
  • To examine how age influences strategy selection and execution in computational estimation.
  • To understand the factors affecting strategy choices in estimation tasks.

Main Methods:

  • Employed the choice/no-choice method for unbiased strategy performance estimation.

Related Experiment Videos

  • Assessed estimation strategies of 216 participants across three age groups (fourth graders, sixth graders, adults).
  • Analyzed the influence of age, problem features, and strategy performance on strategy use.

    • Main Results:

    • Rounding down to the nearest decade was the most prevalent strategy across all age groups.
    • Strategy use and execution were significantly influenced by participant age and problem characteristics.
    • Age-related changes in estimation involve shifts in strategy use, execution, and the factors influencing strategy selection.

    Conclusions:

    • Computational estimation strategies develop with age, showing changes in usage and influencing factors.
    • Findings contribute to understanding age-related differences in the strategic aspects of mathematical estimation.
    • The study highlights the dynamic nature of strategy selection in computational estimation across the lifespan.