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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
del Río, M. Francisca; Strasser, Katherine; Cvencek, Dario; Susperreguy, María Inés; Meltzoff, Andrew N. – Developmental Psychology, 2019
This study examines the relations among parental beliefs and practices about mathematics, children's beliefs about mathematics, participants' gender, and family socioeconomic status (SES). The study was conducted in Chile, a country with significant gender gaps in standardized test results in mathematics, with boys receiving significantly higher…
Descriptors: Foreign Countries, Kindergarten, Student Attitudes, Mathematics
del Río, M. Francisca; Susperreguy, María Inés; Strasser, Katherine; Cvencek, Dario; Iturra, Carolina; Gallardo, Ismael; Meltzoff, Andrew N. – Early Education and Development, 2021
Research Findings: Two hundred and sixty-seven Chilean children from grades 1-3, their fathers and their mothers completed measures of implicit and explicit math-related beliefs (math-gender stereotypes, math self-concepts) and feelings (math anxiety), as well as tests of mathematical achievement. Children, fathers, and mothers exhibited…
Descriptors: Foreign Countries, Grade 1, Grade 2, Grade 3
Paz-Albo Prieto, Jesús; Cvencek, Dario; Herranz Llácer, Cristina V.; Hervás Escobar, Aránzazu; Meltzoff, Andrew N. – Early Child Development and Care, 2017
In play, children often explore mathematical ideas that are vital for future learning. Children's play also reveals gender differences in both colour and toy preferences. The authors examined how gender-related colour preferences of 5-year-olds are related to preferences for math-specific games/toys and gendered beliefs about math. Spanish…
Descriptors: Young Children, Play, Color, Preferences
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
Building Bridges between Psychological Science and Education: Cultural Stereotypes, STEM, and Equity
Master, Allison; Meltzoff, Andrew N. – Prospects: Quarterly Review of Comparative Education, 2016
There is a gender gap in science, technology, engineering, and mathematics (STEM) education. This presents a worldwide problem of inequity. Sociocultural stereotypes associating STEM with males act as barriers that prevent girls from developing interests in STEM. This article aims to show that we can increase equity and enhance outcomes for a…
Descriptors: Gender Differences, STEM Education, Sociocultural Patterns, Barriers
Master, Allison; Cheryan, Sapna; Meltzoff, Andrew N. – Journal of Educational Psychology, 2016
Computer science has one of the largest gender disparities in science, technology, engineering, and mathematics. An important reason for this disparity is that girls are less likely than boys to enroll in necessary "pipeline courses," such as introductory computer science. Two experiments investigated whether high-school girls' lower…
Descriptors: Gender Differences, Computer Science, Sex Stereotypes, Computer Science Education
Cvencek, Dario; Meltzoff, Andrew N.; Greenwald, Anthony G. – Child Development, 2011
A total of 247 American children between 6 and 10 years of age (126 girls and 121 boys) completed Implicit Association Tests and explicit self-report measures assessing the association of (a) "me" with "male" (gender identity), (b) "male" with "math" (math-gender stereotype), and (c) "me" with "math" (math self-concept). Two findings emerged.…
Descriptors: Elementary School Students, Sex Stereotypes, Tests, Measures (Individuals)