• DocumentCode
    587322
  • Title

    Applying JESS rules to personalize Learning Management System(LMS)using online quizzes

  • Author

    AlHamad, A.Q. ; Al-Omari, Farouq ; Yaacob, N.

  • fYear
    2012
  • fDate
    26-28 Sept. 2012
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Personalisation is a key property for Business-to-Customer services, as well as for other types of applications, such as e-learning and information systems. Expert systems are used to personalize websites successfully in e-commerce. The aim of this paper is to integrate a Java Expert System Shell called JESS to a Learning Management System (LMS) to achieve the idea of personalization by applying JESS rules into online quizzes within LMS.
  • Keywords
    Java; Web sites; computer aided instruction; customer services; electronic commerce; expert system shells; information systems; management education; JESS rules; Java expert system shell; PLMS; business-to-customer services; e-commerce; e-learning systems; information systems; learning management system personalization; online quizzes; personalize Web sites; recommender systems; Computers; Educational institutions; Electronic learning; Expert systems; Least squares approximation; Materials; Recommender systems; Expert Systems; Java Expert System Shell (JESS); LMS; Personalization; Recommender Systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Interactive Collaborative Learning (ICL), 2012 15th International Conference on
  • Conference_Location
    Villach
  • Print_ISBN
    978-1-4673-2425-0
  • Electronic_ISBN
    978-1-4673-2426-7
  • Type

    conf

  • DOI
    10.1109/ICL.2012.6402213
  • Filename
    6402213