• DocumentCode
    3531302
  • Title

    Modeling students acceptance of E-learning: A case of the KS university

  • Author

    Aljumaah, Ali

  • Author_Institution
    King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2010
  • fDate
    5-8 July 2010
  • Firstpage
    460
  • Lastpage
    464
  • Abstract
    E-learning is becoming a powerful tool for teaching college students worldwide. It was initially started to enhance distance learning but it soon spread all over the education channels including encamps education as well. Nowadays, with the existence of the internet everywhere and the development of ICT at ever increasing rates, technology is incorporated virtually into all courses and affecting the outcome of education. The effect of such change in delivering education need to be investigated in all aspects, especially, in the acceptance level of E-learning since it plays a significant role in the success of E-learning. A study involving 800 student in the college of business at King Saud University (KSU) was carried out. A logistic regression model was adopted to model students acceptance of E-learning. Furthermore, factors affecting students acceptance were investigated and results of the study were also examined to determine to what extent the E-learning acceptance model is able to adequately explain students´ acceptance of E-learning education.
  • Keywords
    Internet; behavioural sciences; computer aided instruction; distance learning; management education; regression analysis; teaching; ICT; Internet; King Saud University; business college; college students; distance learning; e-learning education; logistic regression model; student acceptance modeling; teaching; Biological system modeling; Educational institutions; Electronic learning; Internet; Least squares approximation; Logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Information Management (ICDIM), 2010 Fifth International Conference on
  • Conference_Location
    Thunder Bay, ON
  • Print_ISBN
    978-1-4244-7572-8
  • Type

    conf

  • DOI
    10.1109/ICDIM.2010.5664232
  • Filename
    5664232