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Numerical Estimation and Mathematical Learning Methodology in Preschoolers.

M C Canto-López1, M Aguilar1, M A García-Sedeño1

  • 1Department of Psychology, 16727University of Cadiz, Puerto Real, Spain.

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Summary
This summary is machine-generated.

Early math education impacts number line estimation. The Open Algorithm Based on Number method improved number line skills more than the traditional Closed Based on Ciphers approach in young children.

Keywords:
Open Algorithm Based on Number methodcognitionearly mathematicsestimationnumber sense

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Area of Science:

  • Cognitive psychology
  • Developmental psychology
  • Mathematics education

Background:

  • The mental number line is crucial for quantity representation.
  • The impact of early math learning methods on number line estimation remains unclear.

Purpose of the Study:

  • To investigate if early mathematics learning methods influence number line estimation abilities.
  • To compare the Open Algorithm Based on Number (OABN) with the Closed Based on Ciphers (CBC) approach.

Main Methods:

  • 233 four- and five-year-old students were assessed using a number line estimation test.
  • Participants were divided into groups based on their mathematics learning method: OABN or CBC.

Main Results:

  • Significant differences in estimation functions were found between the two learning methods.
  • Students taught with OABN demonstrated more efficient linear representations and logarithmic functions compared to CBC students.

Conclusions:

  • The OABN method appears to enhance number line estimation skills more effectively than the CBC method.
  • Recurrent estimation practice within the OABN methodology may contribute to these improved abilities.