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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
Kristina Kramarczuk – ProQuest LLC, 2024
As technology continues to permeate all aspects of modern society, it is critical for PK-12 students to participate in computer science (CS) learning opportunities that prepare them to navigate and leverage technology in their future careers. However, research consistently shows that Black, Hispanic/Latino/a/x, and Native American students,…
Descriptors: Computer Science Education, Principals, Equal Education, Administrator Attitudes
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Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
Kaufman, Phillip – 1990
Patterns of courses completed by high school students versus courses completed by college and postsecondary vocational/technical students were examined. Data were from the High School and Beyond Study, including the 1982 high school transcripte and 1987 postsecondary transcripts for 1980 high school sophomores. Students who graduated from high…
Descriptors: Black Students, College Students, Comparative Analysis, Computer Science Education
Micceri, Theodore – Online Submission, 2005
The purpose of this exercise was to determine whether any of the available demographic or academic variables show distinct trends in three specific discipline areas that differ from those of other areas: (1) Engineering, (2) Computer Sciences, and (3) Biological Sciences. Using data from 39,087 SUS graduates in 2002-03 and of 324,164 science…
Descriptors: Physics, Ethnic Groups, Biology, Transfer Students