Quality evaluation for multimedia contents of e-learning systems using the ANP approach on high speed network

E-learning systems have played an important role in the education field and have been widely employed in many educational institutions. Although the need to evaluate the quality of e-learning systems is emerging, there is currently no appropriate evaluation method due to the complicated correlations between quality attributes. This study develops a quality evaluation model that calculates the priority weights of each quality attribute while accounting for their correlations and evaluates the overall quality of a learning system with numerical results. First, the study constructs a quality attribute network that reflects the correlations between 4 main quality clusters and 19 sub-attributes. Second, it calculates the priority weights of the attributes using the Analytic Network Process (ANP). Finally, using the quality network and weights, this study evaluates three types of e-learning systems employed by Kyunghee Cyber University. The results indicate that the proposed evaluation method provides a mechanism for objectively analyzing and comparing the qualities of various kinds of learning systems and suggests guidelines for constructors and managers of learning systems.