IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Employing Fuzzy Logic for a Real-time Comprehensive Quality Assessment Model of Service Providers in E-learning Environments

Author(s): Hamed Fazlollahtabar (Mazandaran University of Science and Technology, Iran)
Copyright: 2010
Pages: 19
EISBN13: 9781609602307

Purchase


View Sample PDF


Abstract

Assessing quality is obviously a key concern in many aspects of learning, education and training, so why should it be especially crucial in relation to e-learning? The e-learners, as with other distance learners, are working in isolation with limited or sometimes non-existent human support. This means that the first impact of any failure in the providers’ quality assessment regime falls directly on the e-learner. When an e-learner encounters errors caused by a failure in a providers’ quality assessment regime the impact might be immediately evident or not become evident until the learner undertakes an assessed outcome. Since e-learning development is fundamentally a team-based activity, the effectiveness or quality of an e-learning program depends on the weakest link in the production chain. E-learning exists at a point of convergence between technology based disciplines and human-centered disciplines.

Related Content

Shani Reid, Helene Jennings, Scot Osterweil. © 2013. 14 pages.
Dana Battaglia. © 2023. 13 pages.
Ursula Thomas, Lamarcus J. Hall, Tyra Good, Ansley A. Booker, Ghangis D. Carter. © 2020. 21 pages.
Kevin Burden, Simon Atkinson. © 2010. 18 pages.
Constance P. Hargrave, Anita D. Rollins. © 2020. 33 pages.
Body Bottom