Same structures, different settings: exploring computing capital and participation across cultural contexts
Same structures, different settings: exploring computing capital and participation across cultural contexts
The number of people choosing to study computing in higher education remains low. Previous research has developed a research instrument to identify factors underlying student participation grounded in Bourdieu’s sociocultural theory. This study replicates and extends the original study, which identified key social, cultural, and psychological factors linked to computing education participation in Sweden. Using the validated research instrument, we distributed a survey across 11 UK universities, gathering responses from 131 students. Through Confirmatory Factor Analysis, we assessed the robustness of the original study’s constructs — career interest, subject-specific interest, influence from family and friends, confidence, and sense of belonging — and their relationship to subject choice in computing. After model refinements, the replication confirmed and validated the factor structure, supporting the stability of these constructs and their relationship to computing subject choice across cultural contexts. In addition, the current study adds additional open-ended questions to the research instrument to help explain the quantitative results. A thematic analysis further explains the correlation between previous experience, social influence, confidence, and gender, and how that relates to participation in the field. By replicating and extending the original study’s methodology, this research evaluates the reliability and generalisability of its conclusions, contributing to the evidence base needed to design interventions that broaden participation in computing education.
Association for Computing Machinery
Kunkeler, Thom
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Barr, Matthew
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Kallia, Maria
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Andrei, Oana
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Li, Xiaohan
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Muncey, Andrew
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Nylén, Aletta
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Venn-Wycherley, Megan
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10 November 2025
Kunkeler, Thom
f8a54789-cfe3-45c7-b514-89999b54b6dc
Barr, Matthew
3301f9d0-2384-4cea-9d42-03ba2fab7a44
Kallia, Maria
79a8fa86-b49a-49ad-9495-5e3ba8385355
Andrei, Oana
db2600e8-bb66-488b-a76e-000b91f6e6ac
Li, Xiaohan
4ebe7e32-e150-4d39-abb2-2c55f0a73df0
Muncey, Andrew
20ef9924-fac1-4ba9-89b5-0fbce4baf166
Nylén, Aletta
779734a1-9c3e-4d78-9006-ebe0b26754c4
Venn-Wycherley, Megan
9d219326-0ed1-4cec-afda-00d2b8164eb9
Kunkeler, Thom, Barr, Matthew, Kallia, Maria, Andrei, Oana, Li, Xiaohan, Muncey, Andrew, Nylén, Aletta and Venn-Wycherley, Megan
(2025)
Same structures, different settings: exploring computing capital and participation across cultural contexts.
Leinonen, Juho and Duran, Rodrigo
(eds.)
In Koli Calling '25: Proceedings of the 25th Koli Calling International Conference on Computing Education Research.
Association for Computing Machinery.
10 pp
.
(doi:10.1145/3769994.3770041).
Record type:
Conference or Workshop Item
(Paper)
Abstract
The number of people choosing to study computing in higher education remains low. Previous research has developed a research instrument to identify factors underlying student participation grounded in Bourdieu’s sociocultural theory. This study replicates and extends the original study, which identified key social, cultural, and psychological factors linked to computing education participation in Sweden. Using the validated research instrument, we distributed a survey across 11 UK universities, gathering responses from 131 students. Through Confirmatory Factor Analysis, we assessed the robustness of the original study’s constructs — career interest, subject-specific interest, influence from family and friends, confidence, and sense of belonging — and their relationship to subject choice in computing. After model refinements, the replication confirmed and validated the factor structure, supporting the stability of these constructs and their relationship to computing subject choice across cultural contexts. In addition, the current study adds additional open-ended questions to the research instrument to help explain the quantitative results. A thematic analysis further explains the correlation between previous experience, social influence, confidence, and gender, and how that relates to participation in the field. By replicating and extending the original study’s methodology, this research evaluates the reliability and generalisability of its conclusions, contributing to the evidence base needed to design interventions that broaden participation in computing education.
Text
3769994.3770041
- Version of Record
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Published date: 10 November 2025
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Local EPrints ID: 511081
URI: http://eprints.soton.ac.uk/id/eprint/511081
PURE UUID: 1b0db21f-14ab-4d23-8961-30a47a9b3e73
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Date deposited: 01 May 2026 16:30
Last modified: 02 May 2026 02:10
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Contributors
Author:
Thom Kunkeler
Author:
Matthew Barr
Author:
Maria Kallia
Author:
Oana Andrei
Author:
Xiaohan Li
Author:
Andrew Muncey
Author:
Aletta Nylén
Author:
Megan Venn-Wycherley
Editor:
Juho Leinonen
Editor:
Rodrigo Duran
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