• DocumentCode
    2828660
  • Title

    The Adaptive Intelligent Personalised Learning Environment

  • Author

    Costello, R. ; Mundy, D.P.

  • Author_Institution
    Sch. of Arts & New Media, Univ. of Hull, Kingston upon Hull, UK
  • fYear
    2009
  • fDate
    15-17 July 2009
  • Firstpage
    606
  • Lastpage
    610
  • Abstract
    As individuals the ideal learning scenario would be a learning environment tailored just for how we like to learn, personalized to our requirements. This has previously been almost inconceivable given the complexities of learning, the constraints within the environments in which we teach and the need for global repositories of knowledge to facilitate this process. Whilst it still is not necessarily achievable in its full sense this project represents a path towards the presented ideal. Findings from our research into the development of a model and intelligent algorithms for personalised learning are presented. Our model is built on the premise of an ideal system being one which does not just consider the individual but also considers groupings of likeminded individuals and their power to influence learner choice.
  • Keywords
    computer aided instruction; information filtering; teaching; adaptive intelligent personalised learning environment; global knowledge repository; intelligent algorithm; learning resource; personalised adaptive filtering system; teaching; Adaptive filters; Art; Chaos; Education; Intelligent systems; Materials testing; Power system modeling; Psychology; Shape; adaptive filtering; intelligent systems; learning styles; personalised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2009. ICALT 2009. Ninth IEEE International Conference on
  • Conference_Location
    Riga
  • Print_ISBN
    978-0-7695-3711-5
  • Electronic_ISBN
    978-0-7695-3711-5
  • Type

    conf

  • DOI
    10.1109/ICALT.2009.38
  • Filename
    5194316