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Training nonsymbolic proportional reasoning in children and its effects on their symbolic math abilities
Indexado
WoS WOS:000516886300010
Scopus SCOPUS_ID:85077756352
DOI 10.1016/J.COGNITION.2019.104154
Año 2020
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Our understanding of proportions can be both symbolic, as when doing calculations in school mathematics, or intuitive, as when folding a bed sheet in half. While an understanding of symbolic proportions is crucial for school mathematics, the cognitive foundations of this ability remain unclear. Here we implemented a computerized training game to test a causal link from intuitive (nonsymbolic) to symbolic proportional reasoning and other math abilities in 4th grade children. An experimental group was trained in nonsymbolic proportional reasoning (PR) with continuous extents, and an active control group was trained on a remarkably similar nonsymbolic magnitude comparison. We found that the experimental group improved at nonsymbolic PR across training sessions, showed near transfer to a paper-and-pencil nonsymbolic PR test, transfer to symbolic proportions, and far transfer to geometry. The active control group showed only a predicted far transfer to geometry. In a second experiment, these results were replicated with an independent cohort of children. Overall this study extends previous correlational evidence, suggesting a functional link between nonsymbolic PR on one hand and symbolic PR and geometry on the other.

Revista



Revista ISSN
Cognition 0010-0277

Métricas Externas



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Disciplinas de Investigación



WOS
Psychology, Experimental
Scopus
Language And Linguistics
Linguistics And Language
Developmental And Educational Psychology
Experimental And Cognitive Psychology
Cognitive Neuroscience
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Gouet, Camilo Hombre Pontificia Universidad Católica de Chile - Chile
2 Carvajal, Salvador Hombre Pontificia Universidad Católica de Chile - Chile
3 Halberda, Justin Hombre Johns Hopkins Univ - Estados Unidos
Johns Hopkins University - Estados Unidos
4 PENA-GARAY, MARCELA DE LOURDES Mujer Pontificia Universidad Católica de Chile - Chile

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Financiamiento



Fuente
Fondo Nacional de Desarrollo Científico y Tecnológico
Comisión Nacional de Investigación Científica y Tecnológica
Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT), Chile
Latin American School for Education, Cognitive and Neural Sciences

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
We thank all the parents and children who participated in the study. We also thank to Villa Macul School's staff and Sylvia Campos for contacting us to the school. We acknowledge the Comision Nacional de Investigacion Cientifica y Tecnologica (CONICYT), Chile, for funding resources through the fellowship #21130131, and grant Fondecyt #1141040. We acknowledge the Latin American School for Education, Cognitive and Neural Sciences (LASchool). We thank the useful commentaries of reviewers. Thanks to Tyler Knowlton for data analysis assistance and to Josh Langfus for helpful discussions and for writing and data analysis assistance.
We thank all the parents and children who participated in the study. We also thank to Villa Macul School's staff and Sylvia Campos for contacting us to the school. We acknowledge the Comisi?n Nacional de Investigaci?n Cient?fica y Tecnol?gica (CONICYT), Chile, for funding resources through the fellowship #21130131, and grant Fondecyt #1141040. We acknowledge the Latin American School for Education, Cognitive and Neural Sciences (LASchool). We thank the useful commentaries of reviewers. Thanks to Tyler Knowlton for data analysis assistance and to Josh Langfus for helpful discussions and for writing and data analysis assistance.

Muestra la fuente de financiamiento declarada en la publicación.