• DocumentCode
    2918420
  • Title

    Towards Adaptive Mobile Learning System

  • Author

    Razek, Mohammed A. ; Bardes, Hisham Jameel

  • Author_Institution
    R&D Deartment, King Abdulaziz Univ., Jeddah, Saudi Arabia
  • fYear
    2011
  • fDate
    5-8 Dec. 2011
  • Firstpage
    493
  • Lastpage
    498
  • Abstract
    Mobile learning technology is growing rapidly and it has great potential in providing students with learning opportunities - anytime and anywhere. With a variety of tools and resources always available, mobile learning provides increased options for the personalization of learning. With access to so much content anytime and anywhere, there are plenty of opportunities for individual learning. However, each individual has his/her single way of learning. Students learn through several methods - by hearing, seeing, memorizing, visualising, reflecting and acting. Accordingly, some instructors demonstrate or discuss topics, focus on rules, give examples, or emphasize memory. For those reasons, adaptive mobile learning can personalize courses to meet individual needs. In this paper, we present the design and evaluation of a prototype tool called the Adaptive Mobile Learning System, which seeks to support students with a learning object, which is based on their needs. A total of 128 participants (90 female and 38 male) were selected for participation.
  • Keywords
    computer aided instruction; educational courses; human computer interaction; mobile computing; adaptive mobile learning system; learning object; learning opportunities; learning style; machine learning; mobile learning technology; pedagogical agent; Adaptive systems; Educational institutions; Learning systems; Machine learning; Materials; Mobile communication; Visualization; Adaptation; Learning Style; Machine Learning; Mobile Learning; Pedagogical Agent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems (HIS), 2011 11th International Conference on
  • Conference_Location
    Melacca
  • Print_ISBN
    978-1-4577-2151-9
  • Type

    conf

  • DOI
    10.1109/HIS.2011.6122154
  • Filename
    6122154