Learners' acceptance of Learning Management Systems: Developing a theoretical framework

Kamla Ali Al-Busaidi*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The use of information communication technology to build human resources is a vital prerequisite for the development of knowledge-based economy. Learning Management Systems (LMS) do not only provide academic institutions with effective and efficient means to build human resources but also enable them to efficiently and effectively codify and share their academic knowledge. The success of learning management systems in academic institution may be initiated by instructors' acceptance; however, it survives in the long run by learners' continuous acceptance and utilization. Consequently, the objective of this paper is to provide a comprehensive look at the critical factors that influence learners' acceptance of LMS and consequently their actual use. These critical factors are related to the major entities of LMS: the learner, the instructor, the course, the classmates, the organization, and the technology.

Original languageEnglish
Title of host publicationIMSCI 2010 - 4th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings
PublisherInternational Institute of Informatics and Systemics, IIIS
Pages310-315
Number of pages6
ISBN (Print)9781936338061
Publication statusPublished - 2010
Event4th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2010 - Orlando, FL, United States
Duration: Jun 29 2010Jul 2 2010

Publication series

NameIMSCI 2010 - 4th International Multi-Conference on Society, Cybernetics and Informatics, Proceedings
Volume2

Other

Other4th International Multi-Conference on Society, Cybernetics and Informatics, IMSCI 2010
Country/TerritoryUnited States
CityOrlando, FL
Period6/29/107/2/10

Keywords

  • E-learning
  • Learners' acceptance
  • Learning Management Systems
  • Theoretical framework

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems

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