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ERIC Number: EJ1294224
Record Type: Journal
Publication Date: 2021-May
Pages: 19
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1467-7687
EISSN: N/A
Available Date: N/A
Boys' Advantage on the Fractions Number Line Is Mediated by Visuospatial Attention: Evidence for a Parietal-Spatial Contribution to Number Line Learning
Geary, David C.; Scofield, John E.; Hoard, Mary K.; Nugent, Lara
Developmental Science, v24 n3 e13063 May 2021
The study tested the hypotheses that boys will have an advantage learning the fractions number line and this advantage will be mediated by spatial abilities. Fractions number line and, as a contrast, fractions arithmetic performance were assessed for 342 adolescents, as was their intelligence, working memory, and various spatial abilities. Boys showed smaller placement errors on the fractions number line (d = -0.22) and correctly solved more fractions arithmetic problems (d = 0.23) than girls. Working memory and intelligence predicted performance on both fractions measures, and a measure of visuospatial attention uniquely predicted number line performance and fully mediated the sex difference. Visuospatial working memory uniquely predicted fractions arithmetic performance and fully mediated the sex difference. The results help to clarify the nuanced relations between spatial abilities and formal mathematics learning and the sex differences that often emerge in mathematical domains that have a visuospatial component.
Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www-wiley-com.bibliotheek.ehb.be/en-us
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF), Division of Research on Learning in Formal and Informal Settings (DRL); Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (NIH)
Authoring Institution: N/A
Grant or Contract Numbers: 1659133; R01HD087231
Data File: URL: https://osf.io/2kjt6/
Author Affiliations: N/A