• DocumentCode
    2010523
  • Title

    Learning units design based in grid computing

  • Author

    Navarro, Leonel Iriarte ; Such, Manuel Marco ; Diaz, Alexander Sanchez ; Martin, Daniel Morón ; Peco, Pedro Pernías

  • Author_Institution
    Dept. of Comput. Sci., Havana Agrarian Univ., Cuba
  • fYear
    2005
  • fDate
    5-8 July 2005
  • Firstpage
    562
  • Lastpage
    566
  • Abstract
    The development of cooperative, flexible and reusable learning environments is a need in modern education. IMS learning design specifications have played a very important role in modelling and describing complex learning sequences; these tools and applications are used for making this standard design and interpretation easier. On the other hand, grid computing is starting to be used in teaching learning processes to solve complex tasks that require computing power and storage capacity. In this article, some alternatives are given to combine grid computing with teaching learning processes based on IMS learning design. Some elements are proposed to be considered in designing a grid learning object (GLOB) to achieve communication with the "IMS learning design engine". We have applied this method in designing a learning unit about the diagnosis of diseases in animals through images.
  • Keywords
    computer aided instruction; diseases; grid computing; medical image processing; teaching; zoology; GLOB; IMS learning design; animal disease diagnosis; complex learning sequences; computing power; cooperative learning environment; design specification; flexible learning environment; grid computing; grid learning object; learning process; learning units design; modern education; reusable learning environment; storage capacity; teaching; Application software; Computer science; Computer science education; Design methodology; Diseases; Electronic learning; Energy management; Grid computing; Least squares approximation; Power system management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Learning Technologies, 2005. ICALT 2005. Fifth IEEE International Conference on
  • Print_ISBN
    0-7695-2338-2
  • Type

    conf

  • DOI
    10.1109/ICALT.2005.192
  • Filename
    1508757