Tech-savvy men and caring women: Middle school students’ gender stereotypes predict interest in tech-education
Tellhed, Una LU
; Björklund, Fredrik
LU
and Kallio Strand, Kalle
(2023)
In Sex Roles: A Journal of Research
88.
p.307-325
- Abstract
- The labor market is strongly gender segregated with few women working in the tech sector (e.g. IT) and few men working in the care sector (e.g. nursing). We tested the hypothesis that middle school students strongly associate technology with men and caregiving with women, and that this relates to girls’ lower interest in tech-focused educations. We measured technology/caregiving gender stereotypes with implicit (the Implicit Association Test) and explicit (self-report) measures in a sample of Swedish middle school students (n = 873). The results supported the hypothesis, and corroborate Eccles’s expectancy value theory, which suggests that gender stereotypes cause barriers for women to make career choices which suits them as individuals. A... (More)
- The labor market is strongly gender segregated with few women working in the tech sector (e.g. IT) and few men working in the care sector (e.g. nursing). We tested the hypothesis that middle school students strongly associate technology with men and caregiving with women, and that this relates to girls’ lower interest in tech-focused educations. We measured technology/caregiving gender stereotypes with implicit (the Implicit Association Test) and explicit (self-report) measures in a sample of Swedish middle school students (n = 873). The results supported the hypothesis, and corroborate Eccles’s expectancy value theory, which suggests that gender stereotypes cause barriers for women to make career choices which suits them as individuals. A sample of middle school teachers (n = 86) showed even stronger implicit gender stereotypes than the students. This is worrying since teachers may unintentionally convey gender stereotypes in their teaching. Unexpectedly, the middle school girls with a foreign background showed no implicit gender stereotypes, which we discuss in relation to the gender-equality paradox. We suggest that to fulfill the recruitment needs of an increasingly digitalized world, the tech-industry and other stakeholders should put effort into counteracting the stereotype that technology is for men. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/b1c7f17f-2424-4629-aaf4-599c4ad56d0f
- author
- Tellhed, Una
LU
; Björklund, Fredrik
LU
and Kallio Strand, Kalle
- organization
- publishing date
- 2023-03-11
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Implicit gender stereotypes, Explicit gender stereotypes, Technology, Caregiving, Implicit association test, Expectancy value theory, Social role theory, Adolescents, Teachers, Interest, STEM, HEED
- in
- Sex Roles: A Journal of Research
- volume
- 88
- pages
- 19 pages
- publisher
- Springer
- external identifiers
-
- scopus:85149768547
- ISSN
- 0360-0025
- DOI
- 10.1007/s11199-023-01353-1
- language
- English
- LU publication?
- yes
- id
- b1c7f17f-2424-4629-aaf4-599c4ad56d0f
- date added to LUP
- 2022-12-14 07:53:10
- date last changed
- 2023-06-22 14:15:39
@article{b1c7f17f-2424-4629-aaf4-599c4ad56d0f,
abstract = {{The labor market is strongly gender segregated with few women working in the tech sector (e.g. IT) and few men working in the care sector (e.g. nursing). We tested the hypothesis that middle school students strongly associate technology with men and caregiving with women, and that this relates to girls’ lower interest in tech-focused educations. We measured technology/caregiving gender stereotypes with implicit (the Implicit Association Test) and explicit (self-report) measures in a sample of Swedish middle school students (n = 873). The results supported the hypothesis, and corroborate Eccles’s expectancy value theory, which suggests that gender stereotypes cause barriers for women to make career choices which suits them as individuals. A sample of middle school teachers (n = 86) showed even stronger implicit gender stereotypes than the students. This is worrying since teachers may unintentionally convey gender stereotypes in their teaching. Unexpectedly, the middle school girls with a foreign background showed no implicit gender stereotypes, which we discuss in relation to the gender-equality paradox. We suggest that to fulfill the recruitment needs of an increasingly digitalized world, the tech-industry and other stakeholders should put effort into counteracting the stereotype that technology is for men.}},
author = {{Tellhed, Una and Björklund, Fredrik and Kallio Strand, Kalle}},
issn = {{0360-0025}},
keywords = {{Implicit gender stereotypes; Explicit gender stereotypes; Technology; Caregiving; Implicit association test; Expectancy value theory; Social role theory; Adolescents; Teachers; Interest; STEM; HEED}},
language = {{eng}},
month = {{03}},
pages = {{307--325}},
publisher = {{Springer}},
series = {{Sex Roles: A Journal of Research}},
title = {{Tech-savvy men and caring women: Middle school students’ gender stereotypes predict interest in tech-education}},
url = {{http://dx.doi.org/10.1007/s11199-023-01353-1}},
doi = {{10.1007/s11199-023-01353-1}},
volume = {{88}},
year = {{2023}},
}