IDEAS home Printed from https://ideas.repec.org/a/igg/jitwe0/v8y2013i3p22-33.html
   My bibliography  Save this article

Combining Expert Systems and Multiple Intelligences in an Adaptive and Intelligent Tutoring System

Author

Listed:
  • Hafidi Mohamed

    (Laboratoire de Recherche en Informatique (LRI), University of Badji Moktar, Annaba, Algeria)

  • Bensebaa Taher

    (Laboratoire de Recherche en Informatique (LRI), University of Badji Moktar, Annaba, Algeria)

Abstract

This paper describes an adaptive and intelligent tutoring system (AITS) based on multiple intelligences and expert system. Most of adaptive and intelligent tutoring systems based their adaptation to user’s skill level. Other learner features taken into account are background, hyperspace experience, preferences and interests. However, less attention was paid to multiple intelligences and their effects on learning. Moreover, to design AITS which can manage both different disciplinary domains and a guide for the learner is difficult. The specialization of the analysis treatments is responsible for the loss of reusability for the other disciplinary domains. To overcome these limitations, the authors will try to combine the benefits of paradigms (adaptive hypermedia, intelligent tutoring system, multiple intelligences) in order to adapt the course to the needs and intellectual abilities of each learner.

Suggested Citation

  • Hafidi Mohamed & Bensebaa Taher, 2013. "Combining Expert Systems and Multiple Intelligences in an Adaptive and Intelligent Tutoring System," International Journal of Information Technology and Web Engineering (IJITWE), IGI Global, vol. 8(3), pages 22-33, July.
    • Handle: RePEc:igg:jitwe0:v:8:y:2013:i:3:p:22-33
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijitwe.2013070102
    Download Restriction: no
    ---><---

    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:jitwe0:v:8:y:2013:i:3:p:22-33. 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.