Treffer: Gender Stereotypes about Interests Start Early and Cause Gender Disparities in Computer Science and Engineering

Title:
Gender Stereotypes about Interests Start Early and Cause Gender Disparities in Computer Science and Engineering
Language:
English
Authors:
Master, Allison (ORCID 0000-0001-6708-6353), Meltzoff, Andrew N. (ORCID 0000-0001-8683-0547), Cheryan, Sapna (ORCID 0000-0002-0576-9199)
Source:
Grantee Submission. Article e2100030118 2021 118(48):P-P.
Peer Reviewed:
Y
Page Count:
7
Publication Date:
2021
Sponsoring Agency:
National Science Foundation (NSF)
Institute of Education Sciences (ED)
Contract Number:
1849902
1919218
R305A180167
R305A200520
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Education Level:
Elementary Secondary Education
DOI:
10.1073/pnas.2100030118
IES Funded:
Yes
Entry Date:
2022
Accession Number:
ED619476
Database:
ERIC

Weitere Informationen

Societal stereotypes depict girls as less interested than boys in computer science and engineering. We demonstrate the existence of these stereotypes among children and adolescents from first to 12th grade and their potential negative consequences for girls' subsequent participation in these fields. Studies 1 and 2 (n = 2,277; one preregistered) reveal that children as young as age six (first grade) and adolescents across multiple racial/ethnic and gender intersections (Black, Latinx, Asian, and White girls and boys) endorse stereotypes that girls are less interested than boys in computer science and engineering. The more that individual girls endorse gender-interest stereotypes favoring boys in computer science and engineering, the lower their own interest and sense of belonging in these fields. These gender-interest stereotypes are endorsed even more strongly than gender stereotypes about computer science and engineering abilities. Studies 3 and 4 (n = 172; both preregistered) experimentally demonstrate that 8- to 9-y-old girls are significantly less interested in an activity marked with a gender stereotype ("girls are less interested in this activity than boys") compared to an activity with no such stereotype ("girls and boys are equally interested in this activity"). Taken together, both ecologically valid real-world studies (Studies 1 and 2) and controlled preregistered laboratory experiments (Studies 3 and 4) reveal that stereotypes that girls are less interested than boys in computer science and engineering emerge early and may contribute to gender disparities.

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