IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v4y2010i11p3.html
   My bibliography  Save this article

Parsimony Analysis – a Novel Method of Structured Knowledge Representation for Teaching Computer Science

Author

Listed:
  • Stanislaw Maj
  • D Veal

Abstract

Knowledge may be structured in a manner that may either handicap or improve learning outcomes. Knowledge construction is therefore an important aspect of the learning and assessment process. This paper is primarily concerned with structural knowledge (knowing how) of which there are numerous representations and mapping methods each with their associated strengths and weaknesses. This paper presents the novel application of parsimony analysis for organizing and defining structural knowledge within the field of computer science. Work to date has clearly demonstrated there are considerable potential pedagogical advantages to this approach.

Suggested Citation

  • Stanislaw Maj & D Veal, 2010. "Parsimony Analysis – a Novel Method of Structured Knowledge Representation for Teaching Computer Science," Modern Applied Science, Canadian Center of Science and Education, vol. 4(11), pages 1-3, November.
    • Handle: RePEc:ibn:masjnl:v:4:y:2010:i:11:p:3
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/7555/6035
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/7555
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:4:y:2010:i:11:p:3. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.