Divergence in children’s gender stereotypes and motivation across STEM fields

STEM disciplines are traditionally stereotyped as being for men and boys. However, in two preregistered studies of Grades 1 to 12 students in the United States (<i>N</i> = 2,765), we find a significant divergence in students' gender stereotypes about different STEM fields. Gender stereotypes about computer science and engineering more strongly favored boys than did gender stereotypes about math and science. These patterns hold across genders, intersections of gender and race/ethnicity, and two geographical regions. This divergence between different STEM fields was evident, although smaller, for children in elementary school compared to adolescents (students in middle school and high school). The divergence in stereotypes predicted students' divergence in motivation for entering these fields. Gender stereotypes on average slightly favored girls in math and were egalitarian or slightly favored girls in science, while boys remained strongly favored for computer science and engineering, with implications for educational equity and targeted interventions.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2025-05-01
DOI
https://doi.org/10.1073/pnas.2408657122
Citations
4
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
9.46

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article

Divergence in children’s gender stereotypes and motivation across STEM fields

Andrew N. Meltzoff, Sapna Cheryan, Allison Master, Daijiazi Tang
4 citations
Proceedings of the National Academy of Sciences
Career Development and Diversity
9.46
article

Divergence in children’s gender stereotypes and motivation across STEM fields

Andrew N. Meltzoff, Sapna Cheryan, Allison Master, Daijiazi Tang
article en
4 citations

Abstract

STEM disciplines are traditionally stereotyped as being for men and boys. However, in two preregistered studies of Grades 1 to 12 students in the United States (<i>N</i> = 2,765), we find a significant divergence in students' gender stereotypes about different STEM fields. Gender stereotypes about computer science and engineering more strongly favored boys than did gender stereotypes about math and science. These patterns hold across genders, intersections of gender and race/ethnicity, and two geographical regions. This divergence between different STEM fields was evident, although smaller, for children in elementary school compared to adolescents (students in middle school and high school). The divergence in stereotypes predicted students' divergence in motivation for entering these fields. Gender stereotypes on average slightly favored girls in math and were egalitarian or slightly favored girls in science, while boys remained strongly favored for computer science and engineering, with implications for educational equity and targeted interventions.

Proceedings of the National Academy of SciencesVol. 122(18)
University of Washington (US), University of Michigan (US), University of Houston (US)
National Science Foundation, Institute of Education Sciences
Openalex Percentile: Top 2%
Career Development and Diversity
9.46
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Divergence in children’s gender stereotypes and motivation across STEM fields — Andrew N. Meltzoff, Sapna Cheryan, et al. · Proceedings of the National Academy of Sciences (2025) | TGRS Research Map | TGRS