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Cited by 577

The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.

Skills underlying mathematics: The role of executive function in the development of mathematics proficiency

Open access
Cragg, Lucy, Gilmore, Camilla·2014·Trends in Neuroscience and Education

Abstract

The successful learning and performance of mathematics relies on a range of individual, social and educational factors. Recent research suggests that executive function skills, which include monitoring and manipulating information in mind (working memory), suppressing distracting information and unwanted responses (inhibition) and flexible thinking (shifting), play a critical role in the development of mathematics proficiency. This paper reviews the literature to assess concurrent relationships between mathematics and executive function skills, the role of executive function skills in the performance of mathematical calculations, and how executive function skills support the acquisition of new mathematics knowledge. In doing so, we highlight key theoretical issues within the field and identify future avenues for research.

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Crossref · 10.1016/j.tine.2013.12.001

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Metadata

Authors
Cragg, L., & Gilmore, C.
Venue
Trends in Neuroscience and Education
Publisher
Elsevier BV
Published
2014-06
Volume
3
Issue
2
Pages
63-68
ISSN
2211-9493 (ISSN-L)
OpenAlex
W2137962211
Cited by
577
References
96
FWCI
28.18
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Skills underlying mathematics: The role of executive function in the development of mathematics proficiency. https://app.cochat.ai/papers/10.1016/j.tine.2013.12.001
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Cragg, L., & Gilmore, C. (2014). Skills underlying mathematics: The role of executive function in the development of mathematics proficiency. Trends in Neuroscience and Education. https://doi.org/10.1016/j.tine.2013.12.001

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.