Title :
Design and Implementation of an E-Learning Model Based on WUM Techniques
Author :
Sun, Xue ; Zhao, Wei
Author_Institution :
Sch. of Autom., Beijing Union Univ., Beijing, China
Abstract :
E-learning online system which is well-known as its convenient, flexible mode and cheap investment is becoming a new way for people to receive education. How can build an intelligent and personalized learning platform for learners is required today. Web usage mining (WUM) by analyzing the potential rules hidden in Web logs can help personalize the delivery of Web content and improve Web design, customer satisfaction and user navigation through pre-fetching and caching. WUM as one of the hottest techniques in Web data mining can provide an intelligent and individual platform for learners. This paper introduces how to use WUM techniques in e-learning . It designs and implements an e-learning model based on WUM techniques in detail. Implementing the model can build a more intelligent and individual learning system and promote the interests of learners.
Keywords :
Internet; Web design; computer aided instruction; customer satisfaction; data mining; personal computing; storage management; WUM techniques; Web data mining; Web design; Web logs; Web usage mining; customer satisfaction; e-learning online system; electronic learning model; individual learning system; intelligent learning system; personalized learning platform; prefetching; user navigation; Data mining; Electronic government; Electronic learning; File servers; Information systems; Investments; Learning systems; Web mining; Web pages; Web server; E-learning; WUM; learners;
Conference_Titel :
E-Learning, E-Business, Enterprise Information Systems, and E-Government, 2009. EEEE '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-0-7695-3907-2
DOI :
10.1109/EEEE.2009.88