• DocumentCode
    3402433
  • Title

    An Infrastructure for Developing Pervasive Learning Environments

  • Author

    Graf, Sabine ; MacCallum, Kathryn ; Liu, Tzu-Chien ; Chang, Maiga ; Wen, Dunwei ; Tan, Qing ; Dron, Jon ; Lin, Fuhua ; Chen, Nian-Shing ; McGreal, Rory ; Kinshuk

  • Author_Institution
    Vienna Univ. of Technol., Vienna
  • fYear
    2008
  • fDate
    17-21 March 2008
  • Firstpage
    389
  • Lastpage
    394
  • Abstract
    This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components dealing with various tasks and heterogeneous distributed resources. Our proposed infrastructure is based on a multi-agent system architecture to integrate various components of the environments. The infrastructure includes a location- and context-awareness service, a question and answer service, an adaptive mechanism; problem based ubiquitous learning models, social networking issues, and the evaluation of multimedia inputs. Furthermore, student modeling issues among components are considered. The design of the infrastructure as well as its components is discussed. This paves the way towards the development of pervasive learning applications.
  • Keywords
    computer aided instruction; multi-agent systems; ubiquitous computing; adaptive mechanism; autonomous components; context-awareness service; heterogeneous distributed resources; location-awareness service; multiagent system architecture; problem-based pervasive learning environments; social networking issues; Application software; Buildings; Context awareness; Context modeling; Context-aware services; Distance learning; Isolation technology; Multiagent systems; Pervasive computing; Social network services; location awareness; multi-agent systems; optimal grouping; pervasive learning; problem-based learning; ubiquitous learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications, 2008. PerCom 2008. Sixth Annual IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-0-7695-3113-7
  • Type

    conf

  • DOI
    10.1109/PERCOM.2008.51
  • Filename
    4517426