Cbr In The Intelligent Tutoring System

Intelligent Tutoring System (ITS) is a synthetical subject based on artificial intelligence, computer science, cognition science," educational theory, psychology and conduct science. The ultimate target of ITS' s research is to make the computer play the role of human teacher to achieve optimization instruction. ITS' s research started from 1960s, and ITS' s mainstream research method is based on rule-based reasoning (RBR), which is a basic one of expert system. Entering the middle and later periods of the 1990s, with the prevalence of the Internet, more and more ITSes have already been transplanted in the network. On the other hand, machine learning and data mining have also offered new ways to develop ITS.The author believes that the traditional method cannot meet the ITS' s research in the network environment, and as a new inferring technology, case-based reasoning (CBR) can take good place of RBR. So this thesis focuses on the application of CBR in ITS, and discusses this topic theoretically, technically and applicably.