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Mara Kirdani-Ryan – ProQuest LLC, 2024
Impending climate crises, profound wealth inequality and unprecedented vulnerability to global catastrophe at the hands of technology make working towards justice a necessity, and a desperate one at that. However, engaging in work towards justice requires deconstructing the dominant narratives and norms that restrict what actions are permissible…
Descriptors: Postsecondary Education, Computer Science Education, Career Development, Social Justice
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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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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
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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
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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
Braswell, Khalia M. – ProQuest LLC, 2023
Several studies have focused on how in-person informal CS learning programs like summer camps and after-school programs impact Black girls' intent to persist in Computer Science; however, virtual informal CS learning programs remain to be studied. This mixed-methods study uses Intersectional Computing and Social Cognitive Career Theory to examine…
Descriptors: Computer Science Education, Computer Simulation, Barriers, Academic Persistence
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Tisha Lewis Ellison; Nicole Joseph; Jakita O. Thomas – Equity & Excellence in Education, 2024
Black fathers and daughters are the least explored relationship within parent-child and STEM research. This article serves as an examination of the literature around their relationships and STEM learning and as a call to action. Intersectionality, as an analytic lens, examines Black fathers' familial and STEM relationships over time and Black…
Descriptors: STEM Education, Fathers, Daughters, Parent Child Relationship
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Maha Elsinbawi; Aaminah Norris; Abigail Cohen; Maureen A. Paley – International Journal of Computer Science Education in Schools, 2023
This paper reports on the findings of a Design-Based Research (DBR) study that investigated the transformative learning of six high school computer science teachers after they participated in a professional development (PD) training with a focus on Culturally Responsive Computing (CRC). Findings from the statistical analysis of pre-and…
Descriptors: Transformative Learning, Females, Ethnic Groups, Minority Group Students
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