Research And Design Of Personalized Network Teaching System Based On Agent

Abstract:Network teaching system has been applied in the field of personalized education technology by the pursuit of the goal, and the technical field of artificial intelligent Agent agent’s emergence and development, provides a good opportunity for the personalized education technology. Network teaching system research has an individual can bring great convenience to learners and teachers, can effectively improve the teaching quality of education, but also promote the improvement of teaching idea and teaching method.Through the analysis of the existence of current network teaching system, puts forward a personalized network teaching system based on Agent model, this model can realize the judgment of learning progress tracking, learning ability and learning preference analysis, and according to these characteristics, intelligent decision-making, according to individual differences of learners with different learning content and learning interface for it, provide the basis for the teachers to teach students in accordance with their aptitude. In this paper, the function of network teaching system is analyzed and designed in detail, and in the JADE platform, using JSP technology and SQL Server2005database technology for the entire system, each Agent in the system using the FIPA ACL communication language interaction and cooperation, jointly completed the task of teaching. The test shows that, this system can dynamically provide learning knowledge recommendation for the learner, and the learning ability of grade determination, teachers can according to different cognitive level of learners to provide targeted guidance, provides a personalized learning platform for learners and teachers.