Exploring Personality and Learning Motivation Influences on Students' Computational Thinking Skills in Introductory Programming Courses

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  • Author(s): Kaur, Amanpreet (ORCID Kaur, Amanpreet (ORCID 0000-0002-5615-2666); Chahal, Kuljit Kaur (ORCID Chahal, Kuljit Kaur (ORCID 0000-0003-3785-116X)
  • Language:
    English
  • Source:
    Journal of Science Education and Technology. 2023 32(6):778-792.
  • Publication Date:
    2023
  • Document Type:
    Journal Articles
    Reports - Research
  • Additional Information
    • Availability:
      Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: [email protected]; Web site: https://link.springer.com/
    • Peer Reviewed:
      Y
    • Source:
      15
    • Education Level:
      Higher Education
      Postsecondary Education
    • Subject Terms:
      Personality; Learning Motivation; Computation; Thinking Skills; Introductory Courses; Programming; Computer Science Education; Personality Measures; Learning Strategies; Questionnaires; College Students
    • Subject Terms:
      NEO Five Factor Inventory; Motivated Strategies for Learning Questionnaire
    • Accession Number:
      10.1007/s10956-023-10052-1
    • ISSN:
      1059-0145
      1573-1839
    • Abstract:
      Computational thinking (CT) is an essential skill required for every individual in the digital era to become creative problem solvers. The purpose of this research is to investigate the relationships between computational thinking skills, the Big Five personality factors, and learning motivation using structural equation modeling (SEM). The research administered the computational thinking scale, NEO FFI scale, and Motivated Strategies for Learning Questionnaire to a sample of 92 students pursuing degrees in Computer Science and Engineering. Based on the result analysis, it was determined that both personality and learning motivation had positive and significant impacts on computation thinking skills. Personality had a major contribution to the prediction of CT, with consciousness being the most influential predictor. The findings of this study suggest that educators and academics should focus on the significance of the psychological side of CT for the improvement of students' CT skills.
    • Abstract:
      As Provided
    • Publication Date:
      2023
    • Accession Number:
      EJ1400685