Publication Date
In 2025 | 10 |
Since 2024 | 45 |
Descriptor
Source
Author
Bojan Cukic | 2 |
Cheri Fancsali | 2 |
Ian Mikkelsen | 2 |
Judith Kom Nguiffo | 2 |
Kathryn Hill | 2 |
Mohsen Dorodchi | 2 |
Roslyn Arlin Mickelson | 2 |
Stephanie M. Werner | 2 |
Adam Crawford | 1 |
Adeli Ynostroza-Ochoa | 1 |
Adrian Salguero | 1 |
More ▼ |
Publication Type
Reports - Research | 33 |
Journal Articles | 32 |
Dissertations/Theses -… | 5 |
Reports - Descriptive | 4 |
Reports - Evaluative | 2 |
Reports -… | 2 |
Information Analyses | 1 |
Numerical/Quantitative Data | 1 |
Tests/Questionnaires | 1 |
Education Level
Audience
Location
Illinois | 2 |
New York (New York) | 2 |
California | 1 |
California (San Diego) | 1 |
Ireland | 1 |
North Carolina (Charlotte) | 1 |
Pennsylvania | 1 |
Texas | 1 |
United Kingdom (England) | 1 |
Virginia | 1 |
Laws, Policies, & Programs
Individuals with Disabilities… | 1 |
Rehabilitation Act 1973… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
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
Adrian Salguero – ProQuest LLC, 2024
Introductory computer programming (i.e. CS1) is the entry point into the computer science major at higher education institutions worldwide. It introduces foundational concepts to students that are then built upon in future courses. Computer science as a whole has struggled to attract and retain students in the major, particularly women and…
Descriptors: Computer Science, Programming, Introductory Courses, Disproportionate Representation
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
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
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
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
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
Sara Beth Frey – ProQuest LLC, 2024
Research has shown that inequitable participation in computer science education is an occupational injustice for students with disabilities, as it is an unfair and inequitable distribution of occupational opportunities. There is limited information regarding how schools' capacity for and access to computer science education relates to the…
Descriptors: Computer Science Education, Student Participation, Students with Disabilities, Disproportionate Representation
Kathryn Hill; Michelle Flores; Rishika Jain; Edgar Rivera-Cash – Research Alliance for New York City Schools, 2025
This report focuses on the NYC Computer Science for All (CS4All) initiative's efforts to build schools' capacity to expand access to CS across the district. Launched in 2015, CS4All aimed to provide a meaningful CS experience to every student at least once within each grade band (K-2, 3-5, 6-8, 9-12). As the initiative matured, it also began to…
Descriptors: Computer Science Education, Urban Schools, Public Schools, Elementary Secondary Education
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
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
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
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