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Cited by 284

The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.

How Are Motor Skills Linked to Children's School Performance and Academic Achievement?

Cameron, Claire E, Cottone, Elizabeth A, Murrah, William M, Grissmer, David W·2016·Child Development Perspectives

Abstract

Children need a range of skills to transition successfully to formal schooling. In early childhood classrooms, children must master their fine and gross motor skills. In this article, we review the evidence that links motor skills to diverse school outcomes, then describe three sets of cognitive processes—motor coordination, executive function, and visuospatial skills—that are tapped by motor assessments. We then use these processes to explain how motor skills are implicated in children's self-regulation and their emergent literacy and numeracy. We conclude by encouraging theoretical and methodological approaches to clarify the mechanisms that implicate motor skills in school performance and achievement.

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Crossref · 10.1111/cdep.12168

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Metadata

Authors
Cameron, C. E., Cottone, E. A., Murrah, W. M., & Grissmer, D. W.
Venue
Child Development Perspectives
Published
2016-03-01
Volume
10
Issue
2
Pages
93-98
ISSN
  • 1750-8592 (ISSN-L)
  • 1750-8606
OpenAlex
W2300151784
Cited by
284
References
39
FWCI
39.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: How Are Motor Skills Linked to Children's School Performance and Academic Achievement? https://app.cochat.ai/papers/10.1111/cdep.12168
The paper
Cameron, C. E., Cottone, E. A., Murrah, W. M., & Grissmer, D. W. (2016). How Are Motor Skills Linked to Children's School Performance and Academic Achievement? Child Development Perspectives. https://doi.org/10.1111/cdep.12168

Data sources

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.