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Wilma Ann Anderson – ProQuest LLC, 2024
The national conversation about STEM education continues. While math and science have been a constant in K-12 and higher education, curriculum in technology and engineering have not been consistently part of the tapestry of American education. As such, there is a dearth of qualified candidates for the ever-growing number of computer science and…
Descriptors: STEM Education, STEM Careers, Disproportionate Representation, Females
Khalia Braswell; Simone Smarr; Jamie Payton – ACM Transactions on Computing Education, 2024
Several studies have reported the positive benefits of informal Computer Science learning programs for Black girls, which include staff, mentors, and peers reflective of the girls in the program; however, we do not know enough about what motivates Black women to sign up to teach in such programs, or how representation in mentoring affects future…
Descriptors: Mentors, African American Students, Females, Computer Science Education
Mercy Jaiyeola – ProQuest LLC, 2021
Efforts to increase the participation of groups historically underrepresented in computing studies, and in the computing workforce, are well documented. It is a national effort with funding from a variety of sources being allocated to research in broadening participation in computing (BPC). Many of the BPC efforts are funded by the National…
Descriptors: Computer Science, Computers, Career Pathways, Minority Groups
Lara Perez-Felkner; Kristen Erichsen; Yang Li; Jinjushang Chen; Shouping Hu; Ladanya Ramirez Surmeier; Chelsea Shore – Review of Educational Research, 2025
Although gender parity has been achieved in some STEM fields, gender disparities persist in computing, one of the fastest-growing and highest-earning career fields. In this systematic literature review, we expand upon academic momentum theory to categorize computing interventions intended to make computing environments more inclusive to girls and…
Descriptors: Computer Science Education, Gender Differences, Equal Education, Research Reports
Julia Rose Karpicz; Tomoko M. Nakajima; Justin A. Gutzwa – Journal of Women and Gender in Higher Education, 2024
In recent decades, initiatives to diversify post-secondary educational spaces have blossomed. Many of these "broadening participation" efforts are in STEM undergraduate departments that, historically and presently, predominantly serve white men. Using a raced-gendered theoretical lens, we conducted a narrative analysis of interviews with…
Descriptors: Gender Bias, Racism, Public Colleges, Computer Science Education
Susan R. Fisk; Brittany Watts; Courtney Dress; Charlotte Lee; Audrey Rorrer; Tom McKlin; Tiffany Barnes; Jamie Payton – ACM Transactions on Computing Education, 2024
Black women remain severely underrepresented in computing despite ongoing efforts to diversify the field. Given that Black women exist at the intersection of both racial and gendered identities, tailored approaches are necessary to address the unique barriers Black women face in computing. However, it is difficult to quantitatively evaluate the…
Descriptors: Females, Disproportionate Representation, Intervention, African American Students
Yucnary-Daitiana Torres-Torres; Marcos Román-González; Juan-Carlos Perez-Gonzalez – European Journal of Education, 2024
Computational Thinking (CT) is crucial for the advancement of the STEM field, where there continues to be a lack of female representation. Teaching and learning (T/L) of CT should incorporate didactic strategies that aim to eliminate gender biases and integrate girls/women into this context. In response to the question, "What didactic…
Descriptors: Thinking Skills, Gender Differences, Females, Disproportionate Representation
Perez, Melissa; Garcia, Patricia – ACM Transactions on Computing Education, 2023
Norms and values in computing education are constantly changing as dominant narratives about the role of computing in society evolve over time. Within the current evolving landscape of computing education, researchers and practitioners have advocated for ensuring people from all backgrounds, and particularly women, non-binary, and Black,…
Descriptors: Females, Computer Science Education, Student Experience, Attitudes
Donado, Marjorie Fontalvo – ProQuest LLC, 2022
Universities are reflections of our societies and are tasked with educating the next generation of experts. The computer science (CS) phenomenon, with its high-paying jobs, attracts more students than ever to the CS undergraduate major. One may wonder why women are underrepresented in the CS major if they constitute half of university enrollment…
Descriptors: College Students, Females, Computer Science Education, Majors (Students)
Adam V. Maltese; Kelli M. Paul; Bárbara Yarza; Lauren Penney – Educational Technology Research and Development, 2024
In this manuscript, we describe a coding club we created and implemented during the COVID-19 pandemic. We were purposeful in creating the club to: (a) focus on design and problem solving as the basis for learning computer coding and (b) include elements to improve the engagement of girls. We ran multiple iterations of a Girls Design with Code Club…
Descriptors: Clubs, Females, Design, Problem Solving
Erb, Kevin William – ProQuest LLC, 2023
The purpose of this qualitative descriptive study is to explore how college students from the United States describe the motivational factors that influence them to seek a degree in computer science. There is a gap in the research that shows a need to look at the motivations of women from their first experiences in computer science to begin and…
Descriptors: Females, Womens Education, Computer Science Education, Student Motivation
Georgia J. Grossett-Dale – ProQuest LLC, 2022
In our technology-based society, the field of computer science is integral to the economic, scientific, and security-related arenas of the United States. Despite efforts to diversify the domain of computing, most computing professionals are male. Consequently, girls rarely see female role models working in computing. The disparity between male and…
Descriptors: High School Students, Student Motivation, Females, Computer Science Education
Megan Fulcher; Kingsley Schroeder; Jennifer Rabung – Journal for STEM Education Research, 2024
This study was designed to test how well a commercial intervention with a highly feminized role model (Barbie) worked to improve pre-adolescent girls' interest and performance in computer science. Concurrently, this study examined how overtly feminist texts and images of real women would impact girls compared to the traditional highly feminized…
Descriptors: Role Models, Toys, Early Adolescents, Females
Allison Master; Taylor Alexander; Jennifer Thompson; Weihua Fan; Andrew N. Meltzoff; Sapna Cheryan – Journal of Research on Technology in Education, 2025
Motivating girls to enroll in computer science (CS) courses is critically important. Stereotypes that girls are less interested than boys in CS may deter girls. Three preregistered experimental studies (N = 1,053) examined causal links between gender-interest stereotypes and middle school students' CS motivation. Experiment 1 showed that…
Descriptors: Females, Womens Education, Middle School Students, Computer Science Education
Mirjam Paales; Karin Täht – IEEE Transactions on Education, 2025
Contribution: This study enhances the understanding of the factors that impact academic performance and self-efficacy among computer science (CS) students, specifically focusing on gender differences. Background: The motivation behind this study stems from the gender disparity observed within undergraduate CS programs. This gender gap undermines…
Descriptors: Females, Womens Education, Gender Differences, Undergraduate Students