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High School Course-Completion Trajectories and College Pathways for All

A Transcript Analysis Study on Elective Computer Science Courses

Bibliographic Data

ID22047533
AuthorsHsun‐Yu Chan (0000-0001-5236-1009, National Taiwan Normal University, corresponding author), Ting-Lan Ma (0000-0001-8349-6432, Uniformed Services University of the Health Sciences), Guan Saw (0000-0002-9328-2830, Claremont Graduate University), Yen-Ming Huang (0000-0001-8673-2269, National Taiwan University, corresponding author)
Year2022
Volume12
Issue11
Pages808
Publication date2022-11-13
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducation Sciences (JOURNAL)
Journal identifiersISSN: 2227-7102 • E-ISSN: 2227-7102
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/educsci12110808
OpenAlexW4309002755
LanguageEN
Citations received1
References cited48

Whereas researchers regard high school math and science coursework as the best indicator of college readiness for students in the United States, computer science coursework and its relationship to college attendance, particularly for minoritized students, have not received due attention despite its root in the mathematical and scientific reasoning ability. We examined students’ high school course completion patterns across subjects and grade levels with a special focus on elective computer science courses and whether the coursework pattern transitions worked differently for minoritized students in Texas, USA. Latent profile analysis and latent transition analysis revealed multiple patterns of coursework, including Regular, Trailing, and Computer Science-Intensive. However, high school students seemed to attempt computer science courses with an experimental attitude. High school girls, low-income, and Latinx and African American students were less likely to complete computer science courses, despite demonstrating a similar coursework pattern in the previous year. Similarly, students with limited English proficiency, those eligible for free- or reduced-price lunch programs, and Native American students systematically have a lower chance to attend college, despite sufficient academic preparation in high school. Findings highlight the challenges minoritized students face and how students approach elective computer science courses in high school

Academic achievement · Attendance · Coursework · Mathematics education · Medical education · Career Development and Diversity · Higher Education Research Studies · Medicine · Psychology · School Choice and Performance

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Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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