Public defence: Justyna Szynkiewicz

Public defence: Justyna Szynkiewicz
Justyna Szynkiewicz will defend her PhD degree in Sociology at Nord University, Faculty of Social Sciences.
Dame sitter på en plen ved et vann
PhD candidate Justyna Szynkiewicz.

Title dissertation:

Engineering Identities: Computing Students’ Identity Development in Norwegian Higher Education

Toipc trial lecture:

What are the theoretical perspectives on identity that you bring to this study, and how are these operationalized in the methodology and analysis?

Time for trial lecture: 10:15 – 11:15
Time for public defence: 12:15 – 15:30
Place: Levanger, Daniel Mortenson-salen and Nord.no
Chair of defence: Dean Elisabet Ljunggren

Assessment committee:

  • Associate Professor Allison Jardim Gonsalves, McGill University, Canada
  • Professor Anette Kolmos, Aalborg University, Denmark
  • Professor Ingrid Fylling, Nord University

Supervisors:

  • Main supervisor: Associate Professor Line Kolås, Nord University
  • Co-supervisor: Associate Professor Kristine Ask, NTNU

The thesis is available for viewing by contacting Anneli Watterud, anneli.m.watterud@nord.no.

About the thesis:

As technology and digitalization increasingly saturate our lives and society, the demand for individuals with computing degrees continues to rise. As a result, higher education computing degrees have become highly popular study choices. This growing need for a computing workforce underscores the importance of understanding the identities of computing graduates who are creating today’s technology. Social institutions, particularly universities, play a crucial role in shaping individuals and their identities, thereby ensuring that future professionals are both competent and socially responsible. The education of computing professionals involves not only the acquisition of disciplinary knowledge but also the process of becoming and identity development. This thesis investigates the education and production of IT graduates in the context of higher education in Norway, with the primary aim to explore how students’ computing identity is shaped at Norwegian universities.

This interdisciplinary study contributes to the fields of sociology and computing education by investigating the process of identity development in the context of projectbased learning courses. The thesis integrates sociological theories as well as theories and empirical studies from the field of computing education. This empirical research examines the topic through a qualitative thematic analysis inspired by constructivist grounded theory. Empirical data were gathered through interviews with students participating in three project courses at two Norwegian public universities, as well as through document analysis of policy documents shaping computing education. The analysis shows that Norwegian institutions aim to develop student identities that are both industry-relevant and socially responsible. While institutional documents emphasize technical competence and employability as primary goals, they also stress the importance of sustainability awareness and social responsibility. Through projectbased learning, an increasingly popular approach in higher education, students discover that computing practice requires strong social and collaborative skills beyond technical expertise, therefore expanding the narrow, technically oriented approach to identity. However, this study reveals a tension between educating graduates who meet industry demands and developing professionals who prioritize broader societal impact. Despite institutional efforts to incorporate sustainability and ethics into computing education, students’ engagement with these social dimensions remains limited.

Calendar

See all events
Scopus AI in 15 minutes
Library course
Webinar
12. March 2026

Scopus AI in 15 minutes

Zoom
14:15
14:45
Writing an assignment and need a bit of help searching for articles?
Research data café (digital)
Library course
Research
Webinar
13. March 2026

Research data café (digital)

Teams
12:30
14:00
The café lets you ask questions about research data.
FAIR data management
Library course
Research
Webinar
16. March 2026

FAIR data management

Teams
09:30
13:30
A deep dive into research data management