Logo: to the web site of Uppsala University

uu.sePublications from Uppsala University
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
From Science to Computing: A Study of Capital Among Bioinformatics Students
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: 0000-0001-6640-1016
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)In: IEEE Transactions on Education, ISSN 0018-9359, E-ISSN 1557-9638, Vol. 67, no 2, p. 202-208Article in journal (Refereed) Published
Abstract [en]

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. Previous work has looked at capital in science education, but misses out on discipline-specific capital. This article applies science capital research to the field of computing education, providing insight into students' views and dispositions of computing, their confidence and knowledge, and other factors which are important for understanding student engagement with the subject. Research Questions: How can science capital research be adapted to computing education? Further to this, what insights can be generated from such a methodology? Methodology: Inspired by the concept of science capital, a survey has been developed and tested among 29 bioinformatics students with a biology background. These students were selected since they recently switched to a programme involving computing, allowing them to reflect on their motivation, aspirations, and outcome expectations. Informed by the initial results, a follow-up interview was designed, and ten students participated. Findings: Science capital research proves useful for studying factors underlying participation in computing. Students in this study are driven by career opportunities, as well as positive beliefs and values when it comes to computing, while perceiving barriers such as low levels of computing confidence, and a gap between their skills and future careers. In addition, gender differences among survey results were observed (p= 0.002).

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024. Vol. 67, no 2, p. 202-208
Keywords [en]
computing education, capital, broadening participation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-528093DOI: 10.1109/te.2023.3347096ISI: 001165786000001OAI: oai:DiVA.org:uu-528093DiVA, id: diva2:1858117
Available from: 2024-05-15 Created: 2024-05-15 Last updated: 2024-05-22Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Kunkeler, ThomNylén, Aletta

Search in DiVA

By author/editor
Kunkeler, ThomNylén, Aletta
By organisation
Computing Education ResearchDivision Vi3
In the same journal
IEEE Transactions on Education
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 24 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf