• DocumentCode
    2079083
  • Title

    Modeling Adaptive Situations According with Context and Learning Scenarios

  • Author

    Pernas, Ana Marilza ; De Oliveira, José Palazzo M ; Bouzeghoub, Amel

  • Author_Institution
    Inst. de Inf., Univ. Fed. do Rio Grande do Sul, Porto Alegre, Brazil
  • fYear
    2010
  • fDate
    5-7 July 2010
  • Firstpage
    435
  • Lastpage
    437
  • Abstract
    This paper presents an architecture to transform an existent e-learning environment in a situation-aware environment, bringing the concepts of context awareness, situation and scenario to this environment. For a specific scenario, ontologies may be employed to represent the knowledge that the system has on the domain to be studied, on the situation where the study is being performed and also based in the student profile. In this sense, we present an alternative to transform the vision of situation-awareness in a daily reality, automatically defining the student situation and recommending adaptive actions.
  • Keywords
    learning (artificial intelligence); ontologies (artificial intelligence); ubiquitous computing; context awareness; e-learning environment; modeling adaptive situations; ontologies; situation-aware environment; Adaptation model; Cognition; Computational modeling; Context; Context modeling; Electronic learning; Servers; Context; Ontologies; Scenarios; Situations; e-Learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies (ICALT), 2010 IEEE 10th International Conference on
  • Conference_Location
    Sousse
  • Print_ISBN
    978-1-4244-7144-7
  • Type

    conf

  • DOI
    10.1109/ICALT.2010.126
  • Filename
    5572348