Loughborough University
Browse

Measuring the acuity of the approximate number system in young children

Download (588.37 kB)
journal contribution
posted on 2024-03-18, 12:02 authored by Attila Krajcsi, Dana Chesney, Krzysztof CiporaKrzysztof Cipora, Ilse Coolen, Camilla GilmoreCamilla Gilmore, Matthew InglisMatthew Inglis, Melissa Libertus, Hans-Christoph Nuerk, Victoria Simms, Bert Reynvoet

The approximate number system (ANS) is a hypothesized mechanism responsible for the representation and processing of numerical information in an imprecise fashion. According to the predominant theory, the ANS is essential in solving simple numerical tasks such as comparing which of two quantities is numerically larger, and some research has indicated that individual differences in its acuity influence higher-level mathematical performance. Because of this far-reaching role of the ANS, it is essential to assess its acuity with measures that are reliable, and valid. The present work reviews and synthesizes many of the methodological problems that are relevant for measuring ANS acuity in young children. We discuss issues related to task comprehension, the role of non-numerical perceptual properties of the stimuli, the role of inhibition, and the appropriateness and reliability of the ANS acuity indices. Recommendations and open questions are summarized.

Funding

Centre for Early Mathematics Learning

Economic and Social Research Council

Find out more...

CELSA Research Fund (project no. CELSA/19/011)

New bases of numerical understanding

Hungarian Scientific Research Fund

Find out more...

Scholar Award from the James S. McDonnell Foundation

National Science Foundation of the United States (DRL 2201960)

History

School

  • Science

Department

  • Mathematics Education Centre

Published in

Developmental Review

Volume

72

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Author(s)

Publisher statement

This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Acceptance date

2024-03-05

Publication date

2024-03-16

Copyright date

2024

ISSN

0273-2297

eISSN

1090-2406

Language

  • en

Depositor

Dr Krzysztof Cipora. Deposit date: 16 March 2024

Article number

101131

Usage metrics

    Loughborough Publications

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC