E-learning personalization based on itineraries and long-term navigational behavior

作者: Enric Mor , Julià Minguillón

DOI: 10.1145/1013367.1013427

关键词:

摘要: In this paper we describe a practical framework for studying then navigational behavior of the users an e-learning environment integrated in virtual campus. The students navigate through web based campus interacting with learning resources which are structured following SCORM standard. Our main goal is to design usage mining tool analyzing such user and extracting relevant information that can be used validate several aspects related usability but also determine optimal scheduling each course depending on profile. We intend extend these quencing capabilities standard include concept recommended itinerary, by combining teachers expertise learned experience acquired system analysis.

参考文章(3)
Jaideep Srivastava, Robert Cooley, Mukund Deshpande, Pang-Ning Tan, Web usage mining ACM SIGKDD Explorations Newsletter. ,vol. 1, pp. 12- 23 ,(2000) , 10.1145/846183.846188
Ed H. Chi, Peter Pirolli, James Pitkow, The scent of a site: a system for analyzing and predicting information scent, usage, and usability of a Web site human factors in computing systems. pp. 161- 168 ,(2000) , 10.1145/332040.332423