IDEAS home Printed from https://ideas.repec.org/a/igg/jwltt0/v3y2008i3p54-61.html
   My bibliography  Save this article

Harnessing Computer Games in Education

Author

Listed:
  • Morris S.Y. Jong

    (The Chinese University of Hong Kong, Hong Kong)

  • Junjie Shang

    (The Chinese University of Hong Kong, Hong Kong)

  • Fong-Lok Lee

    (The Chinese University of Hong Kong, Hong Kong)

  • Jimmy H.M. Lee

    (The Chinese University of Hong Kong, Hong Kong)

Abstract

Besides the ability of making learning more interesting, educators and researchers have been exploring other pedagogical potentials of computer games. How to employ games for constructivist learning and teaching has become an attention in the field of education and game design in recent years. This article gives an introduction to game-based learning. On top of discussing games’ intrinsic educational traits from the motivational, cognitive and socio-cultural perspectives, we also review two recent foci of game-based learning. The first one is “education in games” which is an approach for adopting existing commercial games for educational use. The second is “games in education” in which the games are designed specifically with underlying pedagogy for some curricula.

Suggested Citation

  • Morris S.Y. Jong & Junjie Shang & Fong-Lok Lee & Jimmy H.M. Lee, 2008. "Harnessing Computer Games in Education," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), IGI Global, vol. 3(3), pages 54-61, July.
  • Handle: RePEc:igg:jwltt0:v:3:y:2008:i:3:p:54-61
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jwltt.2008070105
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Saß, Steffani & Kampa, Nele & Köller, Olaf, 2017. "The interplay of g and mathematical abilities in large-scale assessments across grades," Intelligence, Elsevier, vol. 63(C), pages 33-44.
    2. Morris Siu-Yung Jong & Jie Geng & Ching Sing Chai & Pei-Yi Lin, 2020. "Development and Predictive Validity of the Computational Thinking Disposition Questionnaire," Sustainability, MDPI, vol. 12(11), pages 1-17, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:igg:jwltt0:v:3:y:2008:i:3:p:54-61. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.