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Participation and Learner Trajectories in Computing Education

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Bridging Research and Practice in Science Education

Abstract

Decades of research on engagement, retention, and under-representation in STEM conclude that a better understanding of learner development as a long-term, social process is needed. Social identity theory is increasingly used to understand the interplay between individual development and social structure. The present report summarises findings from a longitudinal study that followed computing students from the beginning of their university studies over a 3-year period (23 participants in year 1, 18 participants in year 3). The aim has been to explore the students’ relationship to their field of study and how it changes as the students engage in their studies. Interviews were conducted in which the students reflected on their interests and experiences with CS/IT prior to and during their studies, as well as on their future career. Informed by social identity theory, the focus has been to analyse and describe students’ experiences of participation in their field of study, i.e. doing, thinking, and feeling, in relation to CS/IT, negotiated among different people, and to discuss learner trajectories based on the insights into participation. A phenomenographic analysis yields an outcome space that describes different ways in which the students experience participation in CS/IT. Three ways of experiencing participation are particularly relevant to understand learner trajectories, participation as creating digital artefacts, problem-solving, and problem-solving for others. Participation as creating and (technical) problem-solving appear to be central at the university, which encourages trajectories towards being a computing person that enjoys creating digital artefacts and (technical) problem-solving. Students who have an interest in computing beyond the technical, e.g. social aspects, get little support. They risk being questioned by people who position computing as technical and theoretical and as a discipline that requires being objective.

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Notes

  1. 1.

    The names are not the students’ real names. In order to protect anonymity of the very few female students in the study, I am using names that I found to be gender neutral and only male pronouns to preserve the masculine atmosphere in the student cohort. All quotes were translated from Swedish to English in a way that resembles the original as much as possible, which may lead to slightly uncommon English sentences. “I” stands for “interviewer”, the author of this report.

References

  • ACM/IEEE. (2013). Computer science curricula 2013: Curriculum guidelines for undergraduate degree programs in computer science. ACM.

    Google Scholar 

  • Beyer, S. (2014). Why are women underrepresented in computer science? Gender differences in stereotypes, self- efficacy, values, and interests and predictors of future CS course-taking and grades. Computer Science Education, 24(2–3), 153–192. https://doi.org/10.1080/08993408.2014.963363.

    Article  Google Scholar 

  • Boivie, I. (2010). Women, men, and programming: Knowledge, metaphors, and programming. In S. Booth, S. Goodman, & G. Kirkup (Eds.), Gender issues in learning and working with information technology: Social constructs and cultural contexts (pp. 1–24). IGI Global.

    Google Scholar 

  • Burr, V. (2003). Social constructionism (2nd ed.). Routledge.

    Google Scholar 

  • Butler, J. (1997). The psychic life of power. Theories in subjection. Stanford University Press.

    Google Scholar 

  • Danielsson, A. T. (2009). Doing physics – Doing gender: An exploration of physics students’ identity constitution in the context of laboratory work (PhD Thesis). Uppsala University, Sweden.

    Google Scholar 

  • Denning, P. J., Tedre, T., & Yongpradit, P. (2017). The profession of IT. Misconceptions about computer science. Communications of the ACM., 60(3). https://doi.org/10.1145/3041047.

    Article  Google Scholar 

  • Faulkner, W. (2001). The technology question in feminism: A view from feminist technology studies. Women’s Studies International Forum, 24(1), 79–95.

    Article  Google Scholar 

  • Hall, S. (1996). Who needs ‘identity’? In S. Hall & P. Du Gay (Eds.), Questions of cultural identity. SAGE.

    Google Scholar 

  • Harding, S. G. (1986). The science question in feminism. Cornell University Press.

    Google Scholar 

  • Holmegaard, H. T., Madsen, L. M., & Ulriksen, L. (2014). To choose or not to choose science: Constructions of desirable identities among young people considering a STEM higher education programme. International Journal of Science Education, 36(2), 186–215. https://doi.org/10.1080/09500693.2012.749362.

    Article  Google Scholar 

  • Jackson, P. A., & Pozzer, L. L. (2015). Chapter 12: Conceptualizing identity in science education research: Theoretical and methodological issues. In C. Milne, K. Tobin, & D. DeGennaro (Eds.), Sociocultural Studies and Implications for Science Education (pp. 213–230). Springer.

    Google Scholar 

  • Kvale, S. (1996). InterViews: An introduction to qualitative research interviewing. SAGE.

    Google Scholar 

  • Lave, J., & Wenger, E. (1991). Situated learning: Legitimate peripheral participation. Cambridge University Press.

    Google Scholar 

  • Lehman, K. J., Sax, L. J., & Zimmerman, H. B. (2016). Women planning to major in computer science: Who are they and what makes them unique? Computer Science Education, 26(4), 277–298. https://doi.org/10.1080/08993408.2016.1271536.

    Article  Google Scholar 

  • Lövheim, D. (2014). Scientists, engineers and the Society of Free Choice: Enrollment as policy and practice in Swedish science and technology education 1960–1990. Science and Education, 23(9), 1763–1784. https://doi.org/10.1007/s11191-014-9693-y.

    Article  Google Scholar 

  • Margolis, J., & Fisher, A. (2002). Unlocking the clubhouse. Women in Computing. MIT Press.

    Google Scholar 

  • Marton, F., & Booth, S. (1997). Learning and awareness. Routledge.

    Google Scholar 

  • Mendick, H. (2005). A beautiful myth? The gendering of being/doing ‘good at maths’. Gender and Education, 17(2), 203–219.

    Article  Google Scholar 

  • Ottemo, A. (2015). Kön, kropp, begär och teknik. Passion och instrumentalitet på två tekniska högskoleprogram. (Gender, body, desire, and technology: Passion and instrumentality in two technical university programs) (PhD Thesis). University of Gothenburg.

    Google Scholar 

  • Peters, A.-K. (2014). The role of students’ identity development in higher education in computing (Licentiate Thesis). Uppsala University, Sweden.

    Google Scholar 

  • Peters, A.-K. (2017). Learning computing at University: Participation and identity. A longitudinal study. (PhD Thesis). Uppsala University, Sweden.

    Google Scholar 

  • Peters, A.-K. (2018). Students’ experience of participation in a discipline – A longitudinal study of computer science and IT engineering students. Accepted for publication in ACM Transactions on Computing Education (TOCE). https://doi.org/10.1145/3230011.

    Article  Google Scholar 

  • Rommes, E., Overbeek, G., Scholte, R., Engels, R., & De Kemp, R. (2007). I’m not interested in computers’: Gender-based occupational choices of adolescents. Information, Communication & Society, 10(3), 299–319.

    Article  Google Scholar 

  • Schulte, C., & Knobelsdorf, M. (2007). Attitudes towards computer science-computing experiences as a starting point and barrier to computer science. In Proceedings of the third international workshop on Computing education research (ICER). ACM.

    Google Scholar 

  • Sfard, A., & Prusak, A. (2005). Telling identities: In search of an analytic tool for investigating learning as a culturally shaped activity. Educational Researcher, 34(4), 14–22.

    Article  Google Scholar 

  • Shanahan, M.-C. (2009). Identity in science learning: Exploring the attention given to agency and structure in studies of identity. Studies in Science Education, 45(1), 43–64. https://doi.org/10.1080/03057260802681847.

    Article  Google Scholar 

  • Simon. (2015). Emergence of computing education as a research discipline. PhD Thesis, Aalto University, Finland.

    Google Scholar 

  • Tenenberg, J., & Knobelsdorf, M. (2014). Out of our minds: A review of sociocultural cognition theory. Computer Science Education, 24(1), 1–24. https://doi.org/10.1080/08993408.2013.869396.

    Article  Google Scholar 

  • Tinto, V. (2006). Research and practice of student retention: What next? Journal of College Student Retention, 8(1), 1–19. https://doi.org/10.2190/4YNU-4TMB-22DJ-AN4W.

    Article  Google Scholar 

  • Ulriksen, L. (2009). The implied student. Studies in Higher Education, 34(5), 517–532. https://doi.org/10.1080/03075070802597135.

    Article  Google Scholar 

  • Ulriksen, L., Madsen, L. M., & Holmegaard, H. T. (2010). What do we know about explanations for drop out/opt out among young people from STM higher education programmes? Studies in Science Education, 46(2), 209–244.

    Article  Google Scholar 

  • Ulriksen, L., & Holmegaard, H. T. (2016). Making sense of curriculum — The transition into science and engineering university programmes. Higher Education, 73(3), 423–440.

    Article  Google Scholar 

  • Wenger, E. (1999). Communities of practice: Learning, meaning, and identity. Cambridge University Press.

    Google Scholar 

  • Wenger-Trayner, E., Fenton-O’Creevy, M., Hutchinson, S., Kubiak, C., & Wenger-Trayner, B. (Eds.). (2014). Learning in landscapes of practice. boundaries, identity, and knowledgeability in practice-based learning. Routledge.

    Google Scholar 

  • Zembylas, M. (2016). Making sense of the complex entanglement between emotion and pedagogy: Contributions of the affective turn. Cultural Studies of Science Education, 11(3), 539–550.

    Article  Google Scholar 

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Correspondence to Anne-Kathrin Peters .

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Peters, AK. (2019). Participation and Learner Trajectories in Computing Education. In: McLoughlin, E., Finlayson, O.E., Erduran, S., Childs, P.E. (eds) Bridging Research and Practice in Science Education. Contributions from Science Education Research, vol 6. Springer, Cham. https://doi.org/10.1007/978-3-030-17219-0_9

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  • DOI: https://doi.org/10.1007/978-3-030-17219-0_9

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