• DocumentCode
    2086459
  • Title

    Collaborative Learning Models on Distance Scenarios with Learning Design: A Case Study

  • Author

    de la Fuente Valentin, L. ; Pardo, Abelardo ; Kloos, Carlos Delgado ; Asensio-Perez, Juan I. ; Dimmitriadis, Y.A.

  • Author_Institution
    Dept. of Telematics Eng., Carlos III Univ. of Madrid, Madrid
  • fYear
    2008
  • fDate
    1-5 July 2008
  • Firstpage
    278
  • Lastpage
    282
  • Abstract
    Collaborative learning models are widely used in educational institutions. These models require a high interaction level among students and are mainly oriented towards in-class scenarios. But when collaborative models are deployed in a distant scenario, user expressiveness is significantly reduced thus creating a gap that hinders the effectiveness of this collaboration. A computer-supported model provides a set of tools to compensate for the distant scenario and reduce this gap. This paper presents the issues and solutions derived from the design and deployment of a complex collaborative model in a distant scenario. The course structure was captured using the Learning Design specification, and an architecture based on virtual network computing was used to provide the required collaborative tools. The course was included as part of a regular undergraduate program in three higher educational institutions.
  • Keywords
    computer aided instruction; groupware; learning (artificial intelligence); collaborative learning models; computer-supported model; distance scenarios; educational institutions; learning design; virtual network computing; Collaboration; Collaborative tools; Collaborative work; Computer architecture; Computer networks; Design engineering; Educational institutions; Educational technology; Least squares approximation; Telematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2008. ICALT '08. Eighth IEEE International Conference on
  • Conference_Location
    Santander, Cantabria
  • Print_ISBN
    978-0-7695-3167-0
  • Type

    conf

  • DOI
    10.1109/ICALT.2008.238
  • Filename
    4561686