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Applying Q-methodology to investigate computer science teachers’ preferences about students’ skills and knowledge for obtaining a degree

Author

Listed:
  • Rita Takács

    (Eötvös Loránd University Budapest)

  • Szabolcs Takács

    (Department of General Psychology and Methodology
    Károli Gáspár University of the Reformed Church in Hungary)

  • Judit T. Kárász

    (Eötvös Loránd University Budapest
    Eötvös Loránd University Budapest)

  • Attila Oláh

    (Eötvös Loránd University Budapest
    Eötvös Loránd University Budapest)

  • Zoltán Horváth

    (Eötvös Loránd University Budapest)

Abstract

Students’ dropout of Computer Science (CS) education is a crucial issue. This study aims to investigate one of the aspects which can help to retain our students. It is vital to examine CS education on the challenge of competence transition within the BSc curriculum from faculty perspectives. Teachers’ expectations about students’ skills and knowledge are important to understand because they influence learning outcomes and teaching methodologies. Acquiring hard skills and professional skills has outstanding significance in preparing students for their future careers. This study uses Q-methodology to identify the different viewpoints on the skills necessary to obtain a CS degree. Teachers from CS bachelor’s programmes at a large European university participated in the study and shared their opinions. The participants were asked to rank the statements along a spectrum of “the most important skill” to “unimportant skill” (containing hard skills as well as soft skills). Factor analysis revealed five factors that are key components to obtaining a degree in CS: 1. analytical and technical skills, 2. teamwork and self-study experience, 3. group programming experience, 4. communication and problem-solving skills, 5. mathematical foundations and process modelling ability. This exploratory study applied a new research instrument and approach to incorporate teachers’ perspectives into research and practice. These findings could help administrators develop new curricula in order to increase students’ retention. We confirmed the need for acquiring professional skills and highlighted the need for designing new programmes which can improve students’ soft skills to prepare them for work in the IT field.

Suggested Citation

  • Rita Takács & Szabolcs Takács & Judit T. Kárász & Attila Oláh & Zoltán Horváth, 2024. "Applying Q-methodology to investigate computer science teachers’ preferences about students’ skills and knowledge for obtaining a degree," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
  • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-02794-z
    DOI: 10.1057/s41599-024-02794-z
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    References listed on IDEAS

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    1. F. Belloc & A. Maruotti & L. Petrella, 2011. "How individual characteristics affect university students drop-out: a semiparametric mixed-effects model for an Italian case study," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(10), pages 2225-2239.
    2. Giorgio Di Pietro, 2006. "Regional labour market conditions and university dropout rates: Evidence from Italy," Regional Studies, Taylor & Francis Journals, vol. 40(6), pages 617-630.
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