The University of Southampton
University of Southampton Institutional Repository

Cognitive components of a mathematical processing network in 9-year-old children

Cognitive components of a mathematical processing network in 9-year-old children
Cognitive components of a mathematical processing network in 9-year-old children
We determined how various cognitive abilities, including several measures of a proposed domain-specific number sense, relate to mathematical competence in nearly 100 9-year-old children with normal reading skill. Results are consistent with an extended number processing network and suggest that important processing nodes of this network are phonological processing, verbal knowledge, visuo-spatial short-term and working memory, spatial ability and general executive functioning. The model was highly specific to predicting arithmetic performance. There were no strong relations between mathematical achievement and verbal short-term and working memory, sustained attention, response inhibition, finger knowledge and symbolic number comparison performance. Non-verbal intelligence measures were also non-significant predictors when added to our model. Number sense variables were non-significant predictors in the model and they were also non-significant predictors when entered into regression analysis with only a single visuo-spatial WM measure. Number sense variables were predicted by sustained attention. Results support a network theory of mathematical competence in primary school children and falsify the importance of a proposed modular ‘number sense’. We suggest an ‘executive memory function centric’ model of mathematical processing. Mapping a complex processing network requires that studies consider the complex predictor space of mathematics rather than just focusing on a single or a few explanatory factors.
506-524
Szűcs, Dénes
1020f888-a7ba-48b6-861a-42a7f6ff716c
Devine, Amy
ff3b6537-9172-4b67-8fd1-037acd7eef4a
Soltesz, Fruzsina
cbc12e4b-9d6f-4c24-8203-47ae2bd8f470
Nobes, Alison
15bc39ec-6883-48c8-be12-373e7a2e2c87
Gabriel, Florence
2a2bdcad-73fd-4c94-af44-994140c4524c
Szűcs, Dénes
1020f888-a7ba-48b6-861a-42a7f6ff716c
Devine, Amy
ff3b6537-9172-4b67-8fd1-037acd7eef4a
Soltesz, Fruzsina
cbc12e4b-9d6f-4c24-8203-47ae2bd8f470
Nobes, Alison
15bc39ec-6883-48c8-be12-373e7a2e2c87
Gabriel, Florence
2a2bdcad-73fd-4c94-af44-994140c4524c

Szűcs, Dénes, Devine, Amy, Soltesz, Fruzsina, Nobes, Alison and Gabriel, Florence (2014) Cognitive components of a mathematical processing network in 9-year-old children. Developmental Science, 17 (4), 506-524. (doi:10.1111/desc.12144). (PMID:25089322)

Record type: Article

Abstract

We determined how various cognitive abilities, including several measures of a proposed domain-specific number sense, relate to mathematical competence in nearly 100 9-year-old children with normal reading skill. Results are consistent with an extended number processing network and suggest that important processing nodes of this network are phonological processing, verbal knowledge, visuo-spatial short-term and working memory, spatial ability and general executive functioning. The model was highly specific to predicting arithmetic performance. There were no strong relations between mathematical achievement and verbal short-term and working memory, sustained attention, response inhibition, finger knowledge and symbolic number comparison performance. Non-verbal intelligence measures were also non-significant predictors when added to our model. Number sense variables were non-significant predictors in the model and they were also non-significant predictors when entered into regression analysis with only a single visuo-spatial WM measure. Number sense variables were predicted by sustained attention. Results support a network theory of mathematical competence in primary school children and falsify the importance of a proposed modular ‘number sense’. We suggest an ‘executive memory function centric’ model of mathematical processing. Mapping a complex processing network requires that studies consider the complex predictor space of mathematics rather than just focusing on a single or a few explanatory factors.

Text
pdf - Version of Record
Available under License Other.
Download (12kB)

More information

e-pub ahead of print date: 23 February 2014
Published date: July 2014
Organisations: Psychology

Identifiers

Local EPrints ID: 375331
URI: https://eprints.soton.ac.uk/id/eprint/375331
PURE UUID: 555fa000-b560-4ad3-833c-b377d1f845ff

Catalogue record

Date deposited: 23 Mar 2015 16:30
Last modified: 14 Aug 2019 18:38

Export record

Altmetrics

Contributors

Author: Dénes Szűcs
Author: Amy Devine
Author: Fruzsina Soltesz
Author: Alison Nobes
Author: Florence Gabriel

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×