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

Employing Fuzzy Logic for a Real-time Comprehensive Quality Assessment Model of Service Providers in E-learning Environments
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Author(s): Hamed Fazlollahtabar (Mazandaran University of Science and Technology, Iran)
Copyright: 2010
Pages: 19
Source title: Cases on Technology Enhanced Learning through Collaborative Opportunities
Source Author(s)/Editor(s): Siran Mukerji (IGNOU, India)and Purnendu Tripathi (IGNOU, India)
DOI: 10.4018/978-1-61520-751-0.ch013

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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.

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