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Ceren Ocak; Katherine Walters; Theodore J. Kopcha – TechTrends: Linking Research and Practice to Improve Learning, 2024
In this article, we present a conceptual framework for teaching computer science (CS) to address the unique challenges faced by marginalized groups. The framework is grounded in feminist standpoint theory and describes three key practitioner-focused areas aimed at broadening participation and increasing participation in CS education (CSEd). These…
Descriptors: Computer Science Education, Power Structure, Disadvantaged, Barriers
Katie N. Smith – AERA Open, 2024
Despite the growing popularity of computing bachelor's programs, women remain vastly underrepresented in these fields. Using Social Cognitive Career Theory and intersectionality as guiding theories, this qualitative study explores how postsecondary institutions shape women's experiences choosing and entering computing bachelor's programs.…
Descriptors: Undergraduate Students, Females, Disproportionate Representation, Computer Science Education
Haeryun Kim – Policy Futures in Education, 2025
This study explores how high school computer science (CS) course enrollment differs by student background through an intersectional lens. I use statewide data from North Carolina that contains longitudinal student-level background and course-taking information from 2005-2006 to the 2018-2019 school year and estimate linear probability models…
Descriptors: Computer Science Education, Course Selection (Students), High School Students, Intersectionality
Sarah L. Rodriguez – Harvard Education Press, 2025
In "Supporting Latina Students in Engineering and Computing," Sarah L. Rodriguez presents a series of evidence-based strategies to foster a sense of belonging and inclusion among Latina students in engineering and computing programs. This work emphasizes the need for asset-based, culturally rooted perspectives to shift departmental…
Descriptors: Hispanic American Students, Engineering Education, Computer Science Education, Evidence Based Practice
Allison Master; Daijiazi Tang; Desiree Forsythe; Taylor M. Alexander; Sapna Cheryan; Andrew N. Meltzoff – Grantee Submission, 2023
Learning coding during early childhood is an effective way for children to practice computational thinking. Aspects of children's motivation can increase the likelihood that children approach computational thinking activities with enthusiasm and deep engagement. Gender inequities may interfere with children's readiness to take advantage of…
Descriptors: Coding, Gender Differences, Equal Education, Computer Science Education

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