A personalised learning environment architecture for e-Learning

Authors:
Toshie Ninomiya;Haruhiko Taira;Toshio Okamoto
Affiliations:
Graduate School of Information Systems, The University of Electro-Communications, Chohu-City, Tokyo, Japan;Data Pacific, Kunitachi-City, Tokyo, Japan;Graduate School of Information Systems, The University of Electro-Communications, Chohu-City, Tokyo, Japan
Venue:
WBED'07 Proceedings of the sixth conference on IASTED International Conference Web-Based Education - Volume 2
Year:
2007

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Abstract

A system architecture for a personalised learning environment in e-Learning is described. First, we present an overview of our learning management system, WebClass RAPSODY, developed for use by the entire student body in a university. Then, a new function including a unit for learning mode to monitor and analyse learners' learning status and a unit for contents to search and analyse the content status is explained. In the unit for learning mode, access files are made at each login from which data indicating the learner's status are generated. In the unit for contents, an agent searches and corrects educational elements of LOM from various LMS, and data indicating the content's status are generated in the LOM database. After learning a given content, this system indicates the next suitable content, using both data of learner's status and content status using a genetic algorithm (GA). This function is capable of supporting learners to sustain e-Learning with good understanding of contents and a high degree of motivation to learn.