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Gender stereotypes about interests start early and cause gender disparities in computer science and engineering
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....
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640926/ https://www.ncbi.nlm.nih.gov/pubmed/34810255 http://dx.doi.org/10.1073/pnas.2100030118 |
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author | Master, Allison Meltzoff, Andrew N. Cheryan, Sapna |
author_facet | Master, Allison Meltzoff, Andrew N. Cheryan, Sapna |
author_sort | Master, Allison |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8640926 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-86409262021-12-13 Gender stereotypes about interests start early and cause gender disparities in computer science and engineering Master, Allison Meltzoff, Andrew N. Cheryan, Sapna Proc Natl Acad Sci U S A Social Sciences 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. National Academy of Sciences 2021-11-22 2021-11-30 /pmc/articles/PMC8640926/ /pubmed/34810255 http://dx.doi.org/10.1073/pnas.2100030118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Social Sciences Master, Allison Meltzoff, Andrew N. Cheryan, Sapna 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 |
title_full | Gender stereotypes about interests start early and cause gender disparities in computer science and engineering |
title_fullStr | Gender stereotypes about interests start early and cause gender disparities in computer science and engineering |
title_full_unstemmed | Gender stereotypes about interests start early and cause gender disparities in computer science and engineering |
title_short | Gender stereotypes about interests start early and cause gender disparities in computer science and engineering |
title_sort | gender stereotypes about interests start early and cause gender disparities in computer science and engineering |
topic | Social Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640926/ https://www.ncbi.nlm.nih.gov/pubmed/34810255 http://dx.doi.org/10.1073/pnas.2100030118 |
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