Research on Intelligence-based Tutoring System
Gao Guang · Zhongwen xinxi xuebao · 2003
Tutoring system is very important to Web-based education. The current tutoring systems only matches the keywords of the questions in the question-database according to users' inputs, so the query precision and user interface can't meet the user's needs. To solve this problem, this paper presents an agent-based intelligent tutoring system by applying the semantic-net principle. The necessity of establishing an intelligent tutoring system is discussed and the tutoring model and its technical route based on the constrained fields are also given. The functions of this system are realized by using two college computer courses as the source of knowledge base. The experiment results indicate that the method proposed by this paper improves the query precision effectively and the user interface is friendly and convenient.