• DocumentCode
    3078456
  • Title

    Adaptive Serious Game for Rehabilitation of Persons with Cognitive Disabilities

  • Author

    Hussaan, Aarij Mahmood ; Sehaba, Karim

  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    65
  • Lastpage
    69
  • Abstract
    The task of generating personalized learning scenarios, in an automatic fashion, for learners is a complicated task. The difficulty is compounded when these scenarios are to be integrated within a serious game dedicated to people with disabilities. In this case, the specificities of the learner´s preferences and competencies should also be taken into account in addition to the learning domain and the serious game specificities. Building on our previous work, we present in this paper the platform GOALS. This platform allows educational designers to generate learning scenarios for learners, manage learning domain and serious game knowledge, as well as, the learners´ profiles. We also present two evaluations in the context of project CLES (Cognitive Linguistic Elements Stimulations). The objectives of these evaluations are to verify the functionality of GOALS, to verify the project CLES´s knowledge and to study the impact of the generated scenarios on the learning of real-world learners.
  • Keywords
    cognition; computer aided instruction; patient rehabilitation; serious games (computing); CLES project; GOALS functionality; GOALS platform; adaptive serious game; cognitive disable person rehabilitation; cognitive linguistic element stimulations; educational designers; learner competencies; learner preferences; learning domain; learning domain management; personalized learning scenarios; serious game knowledge; Adaptation models; Cognition; Context; Games; Generators; Protocols; Visualization; Adaptation; Disabilities; Learning Scenario; Online platform; Serious game;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2013 IEEE 13th International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ICALT.2013.25
  • Filename
    6601868