A semantic web-based personalized learning service supported by on-line course resources

To provide personalized support in on-line course resources system, a semantic web-based personalized learning service is proposed to enhance the learner´s learning efficiency. In this system four most important characteristics are semantically detailed to describe each learning object and learner. Then, a semantic mechanism is designed to compare the learner´s personalization parameters with the learning objects´ four characteristics, in which the learning resources and learning paths are dynamically recommended according to the knowledge point structures, learner profiles, learning objects by a recommendation algorithm. At the same time, learners can modify their own learning contents during the learning process. Experimental results show that the proposed system can improve learner learning efficiency and effectiveness.