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
July 2014
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), .
(doi:10.1111/desc.12144).
(PMID:25089322)
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.
More information
e-pub ahead of print date: 23 February 2014
Published date: July 2014
Organisations:
Psychology
Identifiers
Local EPrints ID: 375331
URI: http://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 Mar 2024 19:24
Export record
Altmetrics
Contributors
Author:
Dénes Szűcs
Author:
Amy Devine
Author:
Fruzsina Soltesz
Author:
Alison Nobes
Author:
Florence Gabriel
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