Remote Intelligent Teaching Platform of Automobile Experiment Course Based on Agent

To improve the teaching level of automobile specialty, this paper proposes and implements a multi-agent intelligent network teaching experiment system model based on XML extended Agent communication language. The scheme uses the cooperation mechanism to realize the knowledge exchange and sharing between them, and forms a multi-level system. Then, the intelligent Agent server is used to collect the most interesting information for the learners and establish a comprehensive teaching system. Finally, during the process of system implementation, the specific curriculum case is taken as the practical application, and the case adopts ASP.NET, MSSQL and other technologies to provide the overall structure, the design of each function module and so on. The test results show that the method is in line with the knowledge base and cognitive characteristics of the learners themselves, and effectively solves the shortcomings of low intelligence of the online experimental teaching system.