Research on Modeling and Simulation of Agent-based Intelligent Teaching System

With the development of information technology such as Artificial Intelligent and mobile computing, various kinds of education concepts or products have become a reality which great promote the development of educational innovation. Nowadays more and more attention are put on the reform of teaching mode, such as MOOC, SPOC, Micro-Course and so on. These teaching modes have tremendous advantages over traditional teaching on facilitating the students’ study, enhancing their learning interest and broadening their horizons. However, the problem of lacking of platform support for the integration of these teaching models still exists. In order to solve this problem, this article propose a model of intelligent teaching system, named ITS for short. The ITS could be regarded as a platform or a system but also a new generation of innovation teaching environment, consisting of software platform and hardware devices. Compared with the traditional classroom teaching, the intelligent teaching system gives emphasis on virtual teaching online and offline, in and out of class. In terms of the definition listed above, this article presents a modeling and simulation of intelligent teaching system basing on agent technique, targeting all components concerned, such as knowledge base, network education system, intelligent teaching platform and some hardware devices. The simulation proves that the modeling of the intelligent teaching system is an efficient way to enhance the quality of teaching and improve the teaching effect, and the intelligent teaching system has the potential to become an application product in the market.