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The Study of Learning Computer Programming for Students with Medical Fields of Specification—An Analysis via Structural Equation Modeling

Author

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  • Ching-Hsiang Lai

    (Department of Medical Informatics, Chung Shan Medical University, Taichung 40201, Taiwan
    Information Technology Office, Chung Shan Medical University Hospital, Taichung 40201, Taiwan)

  • Yan-Kwang Chen

    (Department of Distribution Management, National Taichung University of Science and Technology, Taichung 40401, Taiwan)

  • Ya-huei Wang

    (Department of Applied Foreign Languages, Chung Shan Medical University, Taichung 40201, Taiwan
    Department of Medical Education, Chung Shan Medical University Hospital, Taichung 40201, Taiwan)

  • Hung-Chang Liao

    (Department of Health Policy and Management, Chung Shan Medical University, Taichung 40201, Taiwan
    Department of Medical Management, Chung Shan Medical University Hospital, Taichung 40201, Taiwan)

Abstract

In this study, the authors constructed structural equation models in order to determine the relationship between students’ learning attitudes and their computational thinking perspectives and programming empowerment. The purpose is to understand students’ perceived competence to use computational thinking effectively, along with their computer programming learning attitude regarding the C++ programming language for one semester (2 hours per week, 36 total learning hours). A total of 495 students specializing in the medical field participated in the study. Structural equation models were constructed according to three adapted scales: the computer programming learning attitude scale, the computational thinking perspectives scale, and the programming empowerment scale. The computer programming learning attitude scale is based on three factors: willingness, negativity, and necessity. The computational thinking perspectives scale also considers three factors: the ability to express, the ability to connect, and the ability to question. The programming empowerment scale is composed of four factors: meaningfulness, impact, creative self-efficacy, and programming self-efficacy. The results showed that a positive learning attitude will positively affect computational thinking perspectives and programming empowerment. However, when students have a negativity attitude, feeling that they are being forced to learn the C++ programming language, their computational thinking perspectives and programming empowerment will be negatively affected. In order to promote students’ learning attitude, various teaching strategies, teaching curriculum design, and pedagogy design could be further explored.

Suggested Citation

  • Ching-Hsiang Lai & Yan-Kwang Chen & Ya-huei Wang & Hung-Chang Liao, 2022. "The Study of Learning Computer Programming for Students with Medical Fields of Specification—An Analysis via Structural Equation Modeling," IJERPH, MDPI, vol. 19(10), pages 1-17, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6005-:d:815963
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    References listed on IDEAS

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    1. Marko Sarstedt & Christian M. Ringle & Joseph F. Hair, 2022. "Partial Least Squares Structural Equation Modeling," Springer Books, in: Christian Homburg & Martin Klarmann & Arnd Vomberg (ed.), Handbook of Market Research, pages 587-632, Springer.
    2. Amir Rubinstein & Benny Chor, 2014. "Computational Thinking in Life Science Education," PLOS Computational Biology, Public Library of Science, vol. 10(11), pages 1-5, November.
    3. Chris Michael Kirk & Rhonda K. Lewis & Kyrah Brown & Brittany Karibo & Elle Park, 2016. "The power of student empowerment: Measuring classroom predictors and individual indicators," The Journal of Educational Research, Taylor & Francis Journals, vol. 109(6), pages 589-595, November.
    4. Astrachan, Claudia Binz & Patel, Vijay K. & Wanzenried, Gabrielle, 2014. "A comparative study of CB-SEM and PLS-SEM for theory development in family firm research," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 116-128.
    5. Tantawy, Maha & Herbert, Kendall & McNally, Jeffrey J. & Mengel, Thomas & Piperopoulos, Panagiotis & Foord, David, 2021. "Bringing creativity back to entrepreneurship education: Creative self-efficacy, creative process engagement, and entrepreneurial intentions," Journal of Business Venturing Insights, Elsevier, vol. 15(C).
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