Combining Fuzzy AHP and Association Rule to Evaluate the Activity Processes of E-learning System

Abstract

With the rapid development of technology and the Internet become universal, many courseware has been transformed into digital materials, resulting in the vigorous development of e-Learning platform. This paper combines Fuzzy Analytic Hierarchy Process and Association Rule to evaluate the process of âPractice Scoreâ and âInteractive Learningâ. in this research, visiting 30 teachers for interviews with experts in Taiwan during two months, all respondents compare the various criteria for these two learning processes. Further, get the various elements of the fuzzy relative weights and the sequence of importance from the results of all respondents. Analysis showed the âPractice Scoreâ process, the users generally considered the most important two criteria are data correctness and the stability of data link. for the âInteractive Learningâ process, users are most concerned about whether the platform can provide real-time exchange of knowledge and can quickly update the subject matter with interactive platform or not. the results could be a reference for further development of e-Learning system, and can be used as the basis of the e-Learning process management.