Link Analysis Application in Personalized E-learning Environment

Personalized e-learning is a hot research topic. It can obviously improve the learning efficiency. A perfect e-learning system can recommend right learning content for right learner at right time. In order to find profit contents for different users, a network which describes the relationships among learners is constructed first. Then, the learners owning similar learning interests are found by community detection. At last, right contents are recommended to learners by the collaborative filtering method. This paper also proposes a method to introduce one or several persons to help a learner when he/she meets difficulty by link analysis. With our methods, users belonging to one community can share the proper learning contents and a learner can get valid help as well. E-learning systems can further improve their efficiencies through these methods.