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Jennifer M. Blaney; Theresa E. Hernandez; Annie M. Wofford; David F. Feldon – Review of Higher Education, 2025
There are currently too few computer science faculty to meet student demand, and faculty from historically minoritized groups are severely underrepresented. Expanding pathways from community colleges to PhDs is one critical avenue to both grow and diversify the computer science professoriate that has been underexplored. To gain insight into these…
Descriptors: Computer Science, Community Colleges, College Transfer Students, Academic Aspiration
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Thom Kunkeler; Aletta Nylen – IEEE Transactions on Education, 2024
Contribution: This article applies science capital research to computing education in order to understand why students engage with a programme involving computing, and what they aspire to get out of their education. Background: Capital is a concept which has been used in educational research to study inequality, aspiration and achievement.…
Descriptors: Computer Science Education, Biology, Information Science, Learner Engagement
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Jennifer M. Blaney; David F. Feldon; Kaylee Litson – Studies in Graduate and Postdoctoral Education, 2024
Purpose: Supporting community college transfer students represents a critical strategy for broadening participation in STEM. In addition to being a racially diverse group, students who pursue STEM degrees by way of community college report frequent interests in graduate study and academic careers. Thus, supporting and expanding transfer students'…
Descriptors: Community College Students, College Transfer Students, STEM Education, Doctoral Programs
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Henriette Holmegaard; Louise Archer; Spela Godec; Emma Watson; Emily MacLeod; Jennifer Dewitt; Julie Moote – Computer Science Education, 2025
Background and Context: There is a call for more young people to continue into higher education computer science (CS). Objective: To understand young people's choices into and away from CS, by addressing the inequalities their trajectories as shaped over time and in relation to their capital and identities. Method: Ninety-four longitudinal…
Descriptors: Computer Science Education, Young Adults, Longitudinal Studies, Social Capital