• DocumentCode
    2278078
  • Title

    Context-Aware Scenarios for Pervasive Long-Life Learning

  • Author

    Pham-Nguyen, Cuong ; Garlatti, Serge

  • Author_Institution
    Comput. Sci. Dept., Inst. TELECOM, Brest
  • Volume
    1
  • fYear
    2008
  • fDate
    9-12 Dec. 2008
  • Firstpage
    824
  • Lastpage
    827
  • Abstract
    In the p-LearNet project, we are interested in TEL systems integrating context-aware corporate learning and working activities for e-retail (shops and hypermarkets). The main issues of the p-LearNet project are: work-integrated learning and customer learning support whatever the place, the time, the organisational and technological contexts of the individual or collective learning and working processes. We propose an adaptive and context-aware model of scenario for a pervasive learning system. This model enables us to choose how to achieve activities according to the current situation. The scenario model is based on a hierarchical task model having the task/method paradigm - methods define how to achieve a task, a task represents an activity. The context-aware adaptation process selects the relevant methods according to the current situation.
  • Keywords
    computer aided instruction; continuing professional development; electronic commerce; management education; mobile computing; retail data processing; TEL system; context-aware corporate learning; customer learning support; e-retailing; hierarchical task model; p-LearNet project; pervasive long-life learning; scenario model; work-integrated learning; Computer science; Context modeling; Coordinate measuring machines; Employment; Innovation management; Intelligent agent; Learning systems; Mobile computing; Technological innovation; Telecommunications; Adaptation; Context-Aware; Hierarchical Task Model; Long-life learning; Pervasive Learning; Task/Method Paradigm; working and learning situations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    978-0-7695-3496-1
  • Type

    conf

  • DOI
    10.1109/WIIAT.2008.243
  • Filename
    4740557