Self-Adapting and Agent-based Personalized Courseware Model

In this paper, a super-media courseware system infrastructure based on the knowledge description is propose which features in separation of knowledge description from knowledge entity. Using agent technology, a personalized learning environment is developed with dynamical, real-time user information matching. The courseware system infrastructure is not only capable of balancing network load, but also proves self-adaptive to the users´ circumstances. The simulation tests are run to demonstrate the advantage in performance.