The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
E-Learning and the Semantic Web: A Descriptive Literature Review
Abstract
A number of 3.0 e-learning systems have been proposed in the literature to capture the numerous benefits that the Semantic Web has to offer to the higher education sector. These 3.0 e-learning systems identify some essential Semantic Web characteristics that are either discussed as stand-alone factors or tend to revolve around the complexities of the Semantic Web technology and its implementation, often disregarding users' needs. Conversely, a comprehensive analysis of e-learning models for higher education in the literature revealed several Critical Success Factors (CSFs) that are relevant to the Semantic Web but often overlooked in 3.0 e-learning models. Consequently, this chapter provides an overview of the CSFs of e-learning relevant to 3.0 e-learning systems as well as an overview of the main Semantic Web characteristics for e-learning to define a new and combined set of 3.0 e-learning characteristics that will holistically represent 3.0 e-learning systems capturing the needs and expectations of users. The new initial 3.0 e-learning model proposed is evaluated within the higher education sector in Mauritius.
Related Content
|
Dina Darwish.
© 2024.
28 pages.
|
|
Dina Darwish.
© 2024.
28 pages.
|
|
Muhammad Ahmed, Adnan Ahmad, Furkh Zeshan, Hamid Turab.
© 2024.
33 pages.
|
|
Pankaj Bhambri.
© 2024.
17 pages.
|
|
Kaushikkumar Patel.
© 2024.
20 pages.
|
|
Vijaya Kittu Manda, Arnold Mashud Abukari, Vivek Gupta, Madavarapu Jhansi Bharathi.
© 2024.
24 pages.
|
|
Pankaj Bhambri.
© 2024.
17 pages.
|
|
|