skip to main content
10.1145/2960310.2960338acmconferencesArticle/Chapter ViewAbstractPublication PagesicerConference Proceedingsconference-collections
abstract

Cognitive, Affective, and Dispositional Components of Learning Programming

Published:25 August 2016Publication History

ABSTRACT

Programming is a complex cognitive skill that develops over an extended period of time. The development of programming ability is the product of a number of different cognitive, affective, and dispositional factors. Furthermore, programming ability itself is a complex learning outcome that cannot be measured simply. Prior research on the individual factors that are associated with success in programming is extensive, but detailed pictures of the interactions over time of the many factors involved are rare to non-existent. My dissertation research focuses on building such a detailed picture of the factors that contribute to students developing programming ability. If these processes were better understood by CS education researchers, then interventions to improve student learning in introductory programming contexts could be more theoretically informed and effectively applied.

References

  1. P. L. Ackerman. Determinants of Individual Differences During Skill Acquisition: Cognitive Abilities and Information Processing. Journal of Experimental Psychology: General, 117(3):288--318, 1988.Google ScholarGoogle ScholarCross RefCross Ref
  2. M. Ainley, S. Hidi, and D. Berndorff. Interest, Learning, and the Psychological Processes That Mediate Their Relationship. Journal of Educational Psychology, 94(3):545--561, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  3. J. Bennedsen and M. E. Caspersen. Failure rates in Introductory Programming. ACM SIGCSE Bulletin, 39(2):32--36, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. S. Bergin and R. Reilly. Programming: Factors that Influence Success. ACM SIGCSE Bulletin, 37(1):411--415, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. R. Kanfer and P. L. Ackerman. Motivation and Cognitive Abilities: An Integrative/ Aptitude-Treatment Interaction Approach to Skill Acquisition. Journal of Applied Psychology, 74(4):657--690, 1989.Google ScholarGoogle ScholarCross RefCross Ref
  6. P. Kinnunen and B. Simon. CS Majors' Self-Efficacy Perceptions in CS1: Results in Light of Social Cognitive Theory. Proceedings of the seventh international workshop on Computing education research - ICER '11, pages 19--26, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. A. Lishinski, A. Yadav, J. Good, and R. Enbody. Learning to Program: Gender Differences and Interactive Effects of Students' Motivation, Goals, and Self-Efficacy on Performance. Proceedings of the 12th Annual International ACM Conference on International Computing Education Research (ICER '16), 2016. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. M. Lopez, J. Whalley, P. Robbins, and R. Lister. Relationships Between Reading, Tracing and Writing Skills in Introductory Programming. Proceedings of the fourth international workshop on Computing education research - ICER '08, pages 101--112, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. National Science Foundation. CS For All, 2016.Google ScholarGoogle Scholar
  10. A. Robins. Learning edge momentum: a new account of outcomes in CS1. Computer Science Education, 20(1):37--71, 2010.Google ScholarGoogle ScholarCross RefCross Ref

Index Terms

  1. Cognitive, Affective, and Dispositional Components of Learning Programming

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      ICER '16: Proceedings of the 2016 ACM Conference on International Computing Education Research
      August 2016
      310 pages
      ISBN:9781450344494
      DOI:10.1145/2960310

      Copyright © 2016 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 August 2016

      Check for updates

      Qualifiers

      • abstract

      Acceptance Rates

      ICER '16 Paper Acceptance Rate26of102submissions,25%Overall Acceptance Rate189of803submissions,24%

      Upcoming Conference

      ICER 2024
      ACM Conference on International Computing Education Research
      August 13 - 15, 2024
      Melbourne , VIC , Australia

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader