• DocumentCode
    566455
  • Title

    CAFCLA, a framework to ease design, development and deployment AmI-based collaborative learning applications

  • Author

    García, Óscar ; Alonso, Ricardo S. ; Tapia, Dante I. ; Corchado, Juan M.

  • Author_Institution
    Dept. of Comput. Sci. & Autom., Univ. of Salamanca, Salamanca, Spain
  • fYear
    2012
  • fDate
    20-23 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Ambient Intelligence promotes the integration of Information and Communication Technologies in daily life in order to ease the execution of everyday tasks. In this sense, education becomes a field where Ambient Intelligence can improve the learning process by means of context-aware technologies. This paper presents CAFCLA, a framework that allows developing learning applications based on the pedagogical Computer Supported Collaborative Learning (CSCL) approach and Ambient Intelligence paradigm. CAFCLA integrates different context-aware technologies, so that learning applications designed, developed and deployed with it are dynamic, adaptive and easy to use by users such as learners and teachers.
  • Keywords
    computer aided instruction; groupware; multi-agent systems; ubiquitous computing; AmI-based collaborative learning application design; AmI-based collaborative learning application development; CAFCLA framework; ambient intelligence; context-aware technologies; information and communication technologies; learning application deployment; multiagent system; pedagogical CSCL approach; pedagogical computer supported collaborative learning approach; Ambient intelligence; Collaborative work; Global Positioning System; Learning systems; Multiagent systems; Sensors; Wireless sensor networks; Ambient Intelligence; collaborative learning; context-aware learning; multi-agent systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on
  • Conference_Location
    Madrid
  • ISSN
    2166-0727
  • Print_ISBN
    978-1-4673-2843-2
  • Type

    conf

  • Filename
    6263230