Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Psychology & Neuroscience (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-32882012000100006 |
Resumo: | Magnitude processing is one of the most central cognitive mechanisms that underlie persistent mathematics difficulties. No consensus has yet been reached about whether these difficulties can be predominantly attributed to deficits in symbolic or nonsymbolic magnitude processing. To investigate this issue, we assessed symbolic and nonsymbolic magnitude representations in children with low or typical achievement in school mathematics. Response latencies and the distance effect were comparable between groups in both symbolic and nonsymbolic tasks. The results indicated that both typical and low achievers were able to access magnitude representation via symbolic and nonsymbolic processing. However, low achievers presented higher error rates than typical achievers, especially in the nonsymbolic task. Furthermore, measures of nonsymbolic magnitude explained individual differences in school mathematics better than measures of symbolic magnitude when considering all of the children together. When examining the groups separately, symbolic magnitude representation explained differences in school mathematics in low achievers but not in typical achievers. These results suggest that symbolic magnitude is more relevant to solving arithmetic problems when mathematics achievement is particularly low. In contrast, individual differences in nonsymbolic processing appear to be related to mathematics achievement in a more general manner. |
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Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving childrensymbolic number processingnonsymbolic number processingcognitionchild developmentdyscalculiaMagnitude processing is one of the most central cognitive mechanisms that underlie persistent mathematics difficulties. No consensus has yet been reached about whether these difficulties can be predominantly attributed to deficits in symbolic or nonsymbolic magnitude processing. To investigate this issue, we assessed symbolic and nonsymbolic magnitude representations in children with low or typical achievement in school mathematics. Response latencies and the distance effect were comparable between groups in both symbolic and nonsymbolic tasks. The results indicated that both typical and low achievers were able to access magnitude representation via symbolic and nonsymbolic processing. However, low achievers presented higher error rates than typical achievers, especially in the nonsymbolic task. Furthermore, measures of nonsymbolic magnitude explained individual differences in school mathematics better than measures of symbolic magnitude when considering all of the children together. When examining the groups separately, symbolic magnitude representation explained differences in school mathematics in low achievers but not in typical achievers. These results suggest that symbolic magnitude is more relevant to solving arithmetic problems when mathematics achievement is particularly low. In contrast, individual differences in nonsymbolic processing appear to be related to mathematics achievement in a more general manner.Pontificia Universidade Católica do Rio de JaneiroUniversidade de BrasíliaUniversidade de São Paulo2012-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-32882012000100006Psychology & Neuroscience v.5 n.1 2012reponame:Psychology & Neuroscience (Online)instname:Instituto Brasileiro de Neuropsicologia e Comportamento (IBNeC)instacron:PUCRJ10.3922/j.psns.2012.1.06info:eu-repo/semantics/openAccessFerreira,Fernanda de OliveiraWood,GuilhermePinheiro-Chagas,PedroLonnemann,JanKrinzinger,HelgaWillmes,KlausHaase,Vitor Geraldieng2012-10-26T00:00:00Zoai:scielo:S1983-32882012000100006Revistahttps://www.apa.org/pubs/journals/pnePRIhttps://old.scielo.br/oai/scielo-oai.phppsycneuro@psycneuro.org1983-32881984-3054opendoar:2012-10-26T00:00Psychology & Neuroscience (Online) - Instituto Brasileiro de Neuropsicologia e Comportamento (IBNeC)false |
dc.title.none.fl_str_mv |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
title |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
spellingShingle |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children Ferreira,Fernanda de Oliveira symbolic number processing nonsymbolic number processing cognition child development dyscalculia |
title_short |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
title_full |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
title_fullStr |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
title_full_unstemmed |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
title_sort |
Explaining school mathematics performance from symbolic and nonsymbolic magnitude processing: similarities and differences between typical and low-achieving children |
author |
Ferreira,Fernanda de Oliveira |
author_facet |
Ferreira,Fernanda de Oliveira Wood,Guilherme Pinheiro-Chagas,Pedro Lonnemann,Jan Krinzinger,Helga Willmes,Klaus Haase,Vitor Geraldi |
author_role |
author |
author2 |
Wood,Guilherme Pinheiro-Chagas,Pedro Lonnemann,Jan Krinzinger,Helga Willmes,Klaus Haase,Vitor Geraldi |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Ferreira,Fernanda de Oliveira Wood,Guilherme Pinheiro-Chagas,Pedro Lonnemann,Jan Krinzinger,Helga Willmes,Klaus Haase,Vitor Geraldi |
dc.subject.por.fl_str_mv |
symbolic number processing nonsymbolic number processing cognition child development dyscalculia |
topic |
symbolic number processing nonsymbolic number processing cognition child development dyscalculia |
description |
Magnitude processing is one of the most central cognitive mechanisms that underlie persistent mathematics difficulties. No consensus has yet been reached about whether these difficulties can be predominantly attributed to deficits in symbolic or nonsymbolic magnitude processing. To investigate this issue, we assessed symbolic and nonsymbolic magnitude representations in children with low or typical achievement in school mathematics. Response latencies and the distance effect were comparable between groups in both symbolic and nonsymbolic tasks. The results indicated that both typical and low achievers were able to access magnitude representation via symbolic and nonsymbolic processing. However, low achievers presented higher error rates than typical achievers, especially in the nonsymbolic task. Furthermore, measures of nonsymbolic magnitude explained individual differences in school mathematics better than measures of symbolic magnitude when considering all of the children together. When examining the groups separately, symbolic magnitude representation explained differences in school mathematics in low achievers but not in typical achievers. These results suggest that symbolic magnitude is more relevant to solving arithmetic problems when mathematics achievement is particularly low. In contrast, individual differences in nonsymbolic processing appear to be related to mathematics achievement in a more general manner. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-06-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-32882012000100006 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-32882012000100006 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.3922/j.psns.2012.1.06 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Pontificia Universidade Católica do Rio de Janeiro Universidade de Brasília Universidade de São Paulo |
publisher.none.fl_str_mv |
Pontificia Universidade Católica do Rio de Janeiro Universidade de Brasília Universidade de São Paulo |
dc.source.none.fl_str_mv |
Psychology & Neuroscience v.5 n.1 2012 reponame:Psychology & Neuroscience (Online) instname:Instituto Brasileiro de Neuropsicologia e Comportamento (IBNeC) instacron:PUCRJ |
instname_str |
Instituto Brasileiro de Neuropsicologia e Comportamento (IBNeC) |
instacron_str |
PUCRJ |
institution |
PUCRJ |
reponame_str |
Psychology & Neuroscience (Online) |
collection |
Psychology & Neuroscience (Online) |
repository.name.fl_str_mv |
Psychology & Neuroscience (Online) - Instituto Brasileiro de Neuropsicologia e Comportamento (IBNeC) |
repository.mail.fl_str_mv |
psycneuro@psycneuro.org |
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1754821072823255040 |