Study on Agent-based Intelligent Feedback System in Online Teaching and Interactive Learning

As a new education pattern, online teaching and interactive learning teaching breaks the constraints of time and space of the traditional teaching mode, but it has an obvious deficiency in personalized teaching which advocates teaching students in according to their aptitude. In order to solve this problem, on the base of the traditional network teaching system, it is necessary to increase an intelligence feedback system which is responsible for the task of such as adaptively pushing and updating the learning content, presenting the personalized home page, intelligently answering questions from the learner and so on. In online teaching and interactive learning practice, using this agent-based intelligent feedback system greatly enhanced the effect of personalized teaching and also promoted the development of the online teaching and interactive learning system.