• DocumentCode
    2828181
  • Title

    Personalized E-learning and E-mentoring through User Modelling and Dynamic Recommendations for the Inclusion of Disabled at Work and Education

  • Author

    Santos, Olga C. ; Couchet, Jorge ; Boticario, Jesus G.

  • Author_Institution
    Artificial Intell. Dept., UNED, Madrid, Spain
  • fYear
    2009
  • fDate
    15-17 July 2009
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    Education and work are inextricably linked to the peoplepsilas lives in our modern society and they are the main agents for a successful social integration, but at the same time they can become barriers for the inclusion of the disabled. The technology can be used to overcome these barriers offering an adaptive layer that can cope with the needs of the people with disabilities. Our current research is focused on building user models and generating dynamic recommendations to provide personalized e-learning and e-mentoring. The research is applied in the context of communities for health and independent living.
  • Keywords
    computer aided instruction; handicapped aids; information filters; information retrieval; user modelling; disabled people; dynamic recommendation; personalized e-learning; personalized e-mentoring; recommender system; user modelling; Appropriate technology; Artificial intelligence; Communities; Computer science; Computer science education; Context; Educational technology; Electronic learning; Employee welfare; Social network services; adaptation; e-learning; e-mentoring; recommender system;
  • 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.2009.65
  • Filename
    5194291