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Master, Allison; Meltzoff, Andrew N.; Cheryan, Sapna – Grantee Submission, 2021
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)…
Descriptors: Sex Stereotypes, Student Interests, Gender Discrimination, Computer Science
Master, Allison H.; Meltzoff, Andrew N. – Grantee Submission, 2020
There is a need to help more students succeed in science, technology, engineering, and mathematics (STEM) education, with particular interest in reducing current gender gaps in motivation and participation. We propose a new theoretical model, the STEreotypes, Motivation, and Outcomes (STEMO) developmental model, to account for and integrate recent…
Descriptors: STEM Education, Sex Stereotypes, Gender Bias, Gender Differences
UNESCO Bangkok, 2020
Science, Technology, Engineering and Mathematics (STEM) fields are considered catalysts for the achievement of the 2030 Agenda for Sustainable Development. Yet, particularly for STEM fields, girls and women, for a multitude of social, cultural and psychological reasons, engage and participate at a lower rate than boys and men. This research…
Descriptors: STEM Education, Womens Education, Females, Barriers
Broadley, Kate – Australian Journal of Career Development, 2015
Gendered educational and occupational pathways are entrenched in many countries. The underrepresentation of women in the science, technology, engineering and mathematics (STEM) fields has ramifications for individuals and for workforces. Girls' declining interest in STEM coincides with an increasing demand for STEM-skilled professionals across the…
Descriptors: STEM Education, Career Development, Females, Gender Bias