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Wendy Haw; Adam Crawford – Journal of Learning Development in Higher Education, 2025
This article illustrates the potential for hackathons to serve as an innovative educational tool in addressing the underrepresentation of minority communities in science, technology, engineering, and mathematics (STEM) fields. Using Merced, California--a region recognised for its agricultural economy, socioeconomic disparities, and diverse…
Descriptors: Programming, Computer Science Education, Disproportionate Representation, STEM Education
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Lunn, Stephanie; Zahedi, Leila; Ross, Monique; Ohland, Matthew W. – ACM Transactions on Computing Education, 2021
Although computing occupations have some of the greatest projected growth rates, there remains a deficit of graduates in these fields. The struggle to engage enough students to meet demands is particularly pronounced for groups already underrepresented in computing, specifically, individuals that self-identify as a woman, or as Black,…
Descriptors: Computer Science, Disproportionate Representation, Minority Groups, Enrollment Rate
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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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Selçuk Dogan; Mete Akcaoglu – Teacher Education Quarterly, 2024
Learning computer science (CS) is increasingly becoming a necessary component of K-12 education, but in most cases, teachers do not have either the essential knowledge to teach or a curriculum to follow. In this article, we analyze the outcomes from a yearlong, blended professional development (PD) program to teach teachers game design and coding…
Descriptors: Disproportionate Representation, Blended Learning, Professional Development, Computer Science
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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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Holanda, Maristela; Da Silva, Dilma – IEEE Transactions on Education, 2022
Contributions: The underrepresentation of women in computer science (CS) majors has long been a focus of attention in many academic documents, the majority of them from the United States and Europe. There is, however, a lack of information about educational interventions (EIs) for women in computing in Latin America. The contribution of this…
Descriptors: Foreign Countries, Hispanic American Students, Disproportionate Representation, Computer Science
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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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Jinjushang Chen; Lara Perez-Felkner; Chantra Nhien; Shouping Hu; Kristen Erichsen; Yang Li – Research in Higher Education, 2024
Gender disparities persist in postsecondary computing fields, despite improvements in postsecondary equity overall and STEM fields as an aggregate. The entrenchment of this issue requires a comprehensive, longitudinal lens. Building on expectancy-value theory, the present study examines the relationships among students' gender-ability stereotypes,…
Descriptors: STEM Education, Computer Science, Gender Differences, Disproportionate Representation
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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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Camille Ferguson; Vanora Thomas; Juan Del Toro; Daniel Light; Kamau Bobb; Peta-Gay Clarke; Shameeka Emanuel; Ed Gronke; Mary Jo Madda; Imani Jennings – ACM Transactions on Computing Education, 2024
Black women represent the greatest underrepresentation in STEM fields, particularly the technology sector. According to a 2015 article in "The Verge," Black women make up between 0% and 7% of the staff at the eight largest technology firms in the United States. This points to a glaring problem in terms of equity and inclusivity in the…
Descriptors: Social Capital, Computer Science Education, Ecology, African American Students
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Joseph Osunde; Liz Bacon; Lachlan Mackinnon – Electronic Journal of e-Learning, 2023
Research has shown that e-learning games do not have the same level of appeal to girls, as they do to boys; particularly in the crucial 11-14 age group. In the United Kingdom, this is typically when they start to make subject choices that impact their future studies and careers. Given the shortage of females who choose computer science as a…
Descriptors: Educational Games, Electronic Learning, Gender Differences, Females
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