A multi-agent intelligent tutoring system

A formal model of a multi-agent intelligent tutoring system composed of an information agent, a user agent and a pedagogical agent is presented in this paper. The information agent utilizes multi-media teaching material to represent and update domain knowledge. The user agent makes use of learners´ knowledge levels, psychological characteristics and learning styles, etc., to construct and update user models. The pedagogical agent produces personalized learning units dynamically based on the information provided by user models and domain knowledge bases in order to improve the self-adaptability and pedagogical effects of the system. After given the formalisms of the above three kinds of agents, the formal definition of our system is presented, and the running process of the system is discussed in detail to show that the model is practicable.