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Supplement - Capital in Computing Education: Investigating Factors Underlying Participation
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Education Research. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Computer Systems. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3. (UpCERG)ORCID iD: 0000-0001-6640-1016
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Science. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computing Education Research. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division Vi3. (UpCERG)ORCID iD: 0000-0003-0513-9338
2024 (English)Report (Other academic)
Abstract [en]

This document provides the supplementing material for the following publication:

[1] Thom Kunkeler and Aletta Nylén. Capital in Computing Education: Investigating Factors Underlying Participation. 2024. In Proceedings of the 2024 Conference on Innovation and Technology in Computer Science Education (Milan, Italy, 2024-07-08) (ITiCSE’24).

In this publication, we developed a validated survey instrument to measure capital in computing education. Capital refers to the legitimate, valuable and exchangeable resources that individuals use to generate social advantage withinspecific fields [2]. In computing education, a theoretical model has been developed highlighting the forms of capital which influence participation and successin the field [3]. This study assessed the theoretical model through careful survey design and Confirmatory Factor Analaysis (CFA). The hypothesised survey structure was assessed in terms of model fit to the observed data, and adjusted to achieve a survey with high internal consistency among the items and factors (robust: X2p = 0.119; CFI/TLI = 0.97/0.95; RMSEA = 0.06, SRMR = 0.041).

This document contains a detailed presentation of the pre- and post-validated survey instrument, in addition to the factor analysis diagram.

Place, publisher, year, edition, pages
Uppsala: Uppsala University, 2024. , p. 9
Series
Technical report / Department of Information Technology, Uppsala University, ISSN 1404-3203 ; 2024-001
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-525275OAI: oai:DiVA.org:uu-525275DiVA, id: diva2:1845928
Available from: 2024-03-20 Created: 2024-03-20 Last updated: 2024-05-28Bibliographically approved

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Kunkeler, ThomNylén, Aletta

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CiteExportLink to record
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Citation style
  • apa
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Output format
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