• DocumentCode
    3542471
  • Title

    A new approach of e-learning-adaptive based on ant colonies optimisation algorithm

  • Author

    Allach, Samir ; Essaaidi, Mohammad ; Ben Ahmed, Mohamed

  • Author_Institution
    LASIT (FS Tetouan), Tetouan, Morocco
  • fYear
    2012
  • fDate
    10-12 May 2012
  • Firstpage
    827
  • Lastpage
    832
  • Abstract
    Adaptive E-learning, refers to a training concept in which technology is introduced step by step in all aspects of the business of training. A technique, inspired by the Ant Colony Optimization (ACO), is proposed to optimize the learning path. The proposed platform is modeled by a graph where nodes represent the educational elements (lessons or exercises), and arcs link navigation between them. Each of the arcs is also a value that describes its importance in relation to teaching neighboring arcs. Students are represented by virtual agents (ants) who use these links.
  • Keywords
    ant colony optimisation; computer based training; distance learning; graph theory; multi-agent systems; virtual reality; ACO; adaptive e-learning; ant colony optimization algorithm; distance education; educational elements; educational exercise; educational lesson; graph modeling; learning path; training concept; virtual agent; Adaptation models; Computational modeling; Europe; Government; History; Lead; Unified modeling language; ACO; Adaptive E-learning; platforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Computing and Systems (ICMCS), 2012 International Conference on
  • Conference_Location
    Tangier
  • Print_ISBN
    978-1-4673-1518-0
  • Type

    conf

  • DOI
    10.1109/ICMCS.2012.6320179
  • Filename
    6320179