• DocumentCode
    2001389
  • Title

    Learning Theories in Computer Science Education

  • Author

    Quevedo-Torrero, Jesüs Ubaldo

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Wisconsin-Parkside, WI
  • fYear
    2009
  • fDate
    27-29 April 2009
  • Firstpage
    1634
  • Lastpage
    1635
  • Abstract
    College instruction may be primarily concerned in most cases with the content of their academic lessons, and not very much with their instructional delivery. However, the effective application of learning theories in higher education has an impact on student performance. This paper surveys the applicability of constructivism, cognitive information processing and behaviorism in computer science education. However, student success in learning computer science theory is not limited to only those three learning theories. In general, research findings suggest that effective computer science instruction involves the design of cognitive models that facilitate retrieval, and a consistent application of positive reinforcement.
  • Keywords
    cognition; computer science education; human factors; information retrieval; teaching; behaviorism; cognitive information processing; computer science education; computer science theory learning; constructivism; information retrieval; positive reinforcement; teaching; Application software; Computer science; Computer science education; Drives; Educational institutions; Information processing; Information retrieval; Random access memory; Read only memory; Read-write memory; behaviorism; computer science education;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: New Generations, 2009. ITNG '09. Sixth International Conference on
  • Conference_Location
    Las Vegas, NV
  • Print_ISBN
    978-1-4244-3770-2
  • Electronic_ISBN
    978-0-7695-3596-8
  • Type

    conf

  • DOI
    10.1109/ITNG.2009.294
  • Filename
    5070879