A Set of Empirical Models to Evaluate E-learning Web Sites and Their Comparison

With the advancement of network technologies, Internet users including students and researchers have switched to online learning options or simply e-learning modules due to wide range of advantages. Many educational Web sites have come up with various online courses or e-learning software to facilitate e-learning. However, without proper guidance, students might face problems in selecting an appropriate e-learning platform as they might not be well informed about the quality of the e-learning software. Such a well-designed evaluator of e-learning software would not only help to find the best-fit e-learning software, but also to resolve information overloading problem. Hence, evaluating and recommending appropriate e-learning software becomes a vital concern. In this research work, an e-learning software evaluator has been designed not only for evaluating but also ranking the e-learning educational Web sites. This article uses analytical hierarchical process (AHP) and principal component analysis (PCA) to evaluate e-learning software. The results of these were then compared parametrically.