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Simone Elias; Edward Cromarty; Linda Wilson-Jones – Journal of Research Initiatives, 2022
This article approaches the problem of underrepresentation of women and marginalized ethnic groups in the computer science fields from a developmental learning perspective. It proposes that systemic social barriers need to be addressed to overcome the bias toward women in the technological fields. The article surmises that even though stereotypes…
Descriptors: Barriers, Females, Minority Group Students, Ethnic Groups
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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
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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
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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
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Birgy Lorenz – Educational Media International, 2023
The proportion of women in the IT sector is decreasing. In schools, girls tend to stay away from IT or take on roles in softer activities such as digital safety, social media. Studying and working in IT requires technical skillset. At the same time, the sector would need people with people and organizational skills as well. Technical skills can be…
Descriptors: Females, Role Models, Information Technology, Foreign Countries
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Krystal L. Williams; Edward Dillon; Shanice Carter; Janelle Jones; Shelly Melchior – ACM Transactions on Computing Education, 2024
Improving equity and inclusion for underrepresented groups in the field of Computer Science (CS) has garnered much attention. In particular, there is a long-standing need for diversity efforts that center on the experiences of Black women, and specific actions to increase their representation--especially given the biases that they often encounter…
Descriptors: Blacks, African Americans, Females, Disproportionate Representation
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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
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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
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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
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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
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Hope Sikhosana; Hlologelo Malatji; Aldridge Munyoro – Cogent Education, 2023
The under-representation of women in the field of Science, Technology, Engineering, and Maths (STEM) is of great concern in South Africa. Despite the efforts made by the government to improve access to education for learners from previously disadvantaged communities, South African Black women are still under-represented in STEM fields. The present…
Descriptors: Blacks, Females, STEM Education, Foreign Countries
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Gislaine Martinez-Campa; Meredith Kier – Cultural Studies of Science Education, 2024
This study puts forth the counternarrative of the first author Gislaine, a first-generation undergraduate student, Latina, and computer science major. Gislaine participated in a research internship and STEM mentorship program led by the second author, Meredith. Through this program, Gislaine designed and taught CS lessons to predominantly…
Descriptors: STEM Education, Computer Science, Undergraduate Students, First Generation College Students
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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
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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
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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
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