• DocumentCode
    2032269
  • Title

    Dyslexia adaptive e-learning system based on multi-layer architecture

  • Author

    Alsobhi, Aisha ; Khan, Nawaz ; Rahanu, Harjinder

  • Author_Institution
    Sch. of Sci. & Technol., Middlesex Univ., London, UK
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    776
  • Lastpage
    780
  • Abstract
    The key shortcoming of traditional e-learning systems is that the learning they promote is not adaptive. This paper analyses the e-learning activity of individuals with dyslexia and proposes an innovative design for an e-learning system. This new system is user-centric and interactive based on information about the user´s learning preferences. The proposed system design employs a multi-layer architecture, including a presentation layer, an adaption layer, a learning management system layer, an application server layer and a database layer. The learning management system layer contains all the possible systems that provide resources to support the learning process, hence improving the system´s reusability. The adaption layer provides the system´s adaptive technique functionality, which makes it more intelligent and adaptive - the main objective of this research.
  • Keywords
    handicapped aids; human factors; interactive systems; learning management systems; medical disorders; adaption layer; application server layer; database layer; dyslexia adaptive e-learning system; learning management system layer; learning process; multilayer architecture; presentation layer; system adaptive technique functionality; system reusability improvement; user learning preferences; user-centric interactive system; Adaptive systems; Computer architecture; Databases; Electronic learning; Servers; Adaptive; Dyslexia; e-learning; multi-layer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Science and Information Conference (SAI), 2015
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/SAI.2015.7237231
  • Filename
    7237231