Adaptive Network Teaching System Based On Multi-agent Architecture And Realization

With the development of computer technology, networking and multimedia technology, network teaching as a brand-new educational way emerges rapidly and popularizes day by day. But with the development of high and new technology, the traditional network teaching way has been unable to satisfy the people's needs, therefore the research of the intelligent technology network teaching system is a major tendency. At present, putting the intelligent technology into the network teaching system changed the traditional educational pattern and the teaching method to a certain extent, and effect with the development of the educational idea.During the process of the learner's study and accumulate of the knowledge, the existing network teaching system can make their basic teaching request come true, but it's not able to provide satisfying service for the adaptive learning. Especially it is weak in providing some suitable learning patterns for learners of different learning styles. The personalized teaching characteristic is not prominent. By the initiation of the MBTI career character test, combine the Agent technology with the intelligent teaching system, an adoptive network CAI framework based on Multi-Agent is set up, and the functions of each Agent inside the framework are analyzed. A model for extracting and processing the learner's learning characteristics is presented. Using the Agent's independency and the reaction of the environment, by tracing the learner's learning records dynamically. Write down their valuable information of studies and tests each time. By the method of doing data quantification of the information and calculates its tendency similarity, we can analyze the individuality of their study process. Then we can obtain a kind of study style which adapts with the learner and recommend it to them.This article mainly makes some researches on the following: 1.analyzes and summarizes the present situation of network education all over the world, puts forward a model of intelligent network teaching system based on Agents; 2. Seriously studies and analyzes Psychology theories, modern teaching theory and its related application technology on multimedia, for example, MBTI (Myers-Briggs Type Indicator) , artificial intelligence technology, network technology, Agent technology and design an intelligent teaching environment with individualized learning function; 3. Combines the Agent technology with the teaching system, designs a new intelligent teaching system; 4. On the platform of .Net, designs and realizes an archetypal through data system of SQL server.