Author(s)

Jin Xin

Corresponding Author

Jin Xin

Abstract

At present, the development of computer aided instruction (CAI) courseware in our country is mostly some traditional linear and branching courseware. It adopts fixed structure mode, traditional programming method and realizes the development of courseware content through teaching. Teachers and staff should make arrangements beforehand, and teaching order should be designed according to the teaching plan formulated by the designer and students' rules. This teacher-led teaching mode is no longer suitable for our teaching. The effective way to solve this problem is to introduce AI technology into CAI. AI, especially expert system technology, is especially suitable for intelligent teaching system. It requires a lot of knowledge and experience from human experts. Although there are many intelligent tutoring systems, they still cannot meet the needs of teaching, because it is difficult for teachers to master programming technology, teaching experience cannot be reflected in the design, and computer professionals often lack teaching experience. In practical teaching, there are difficulties in the design of educational theories and methods. In the design part, this paper proposes a domain knowledge representation method, which gives object-oriented hypertext cognitive knowledge, and proposes a reasoning machine teaching strategy based on WEIG. According to the theory of cognitive learning, a step-by-step approximation method of learning students' cognitive and historical inheritance model is designed, and an automatic navigation and hypertext navigation teaching mode based on students' learning process is designed. Model and knowledge, the design explanation mechanism and man-machine interface of intelligent system are discussed. In the implementation part, the realization of the writing environment and the man-machine interface, the organization and management of knowledge are discussed, and the specific realization of the code reasoning is given. Finally, a preliminary implementation of the intelligent teaching system model is attempted. The development prospect of the system is prospected.

Keywords

Expert System, Intelligent Teaching System, Double Main Teaching Model, Concept Tree