Knowledge preference based learning community construction and service support

Abstract

In this paper, the learner's knowledge preference ontology model is presented to process learning preference and situation in E-Learning environment. By this model, knowledge domain, learning situation and knowledge preference are described reasonably and efficiently. And, the reasoning rules for knowledge preference and learning situation are given in this model. According to these reasoning rules, the learner's knowledge preference and situation can be concluded. Furthermore, the learning community based on the learner's knowledge preference is constructed. By talking with and learning good ideas from the members of the community, the learner's loneliness in E-Learning environment would be declined. We design and implement the learning community and its service support based on knowledge preference ontology model. The experiment results show that the learner's efficiency is raised greatly and the learner's interest is stimulated more effectively. © 2010 Springer-Verlag Berlin Heidelberg.