Using of intelligence tutoring systems for knowledge representation in learning and teaching process

Intelligent tutoring systems (ITS) are a new generation of computer systems for support and improvement of learning and teaching. The usual definition of an ITS characterizes it as a system based on some kind of knowledge which includes domain, teachers and student knowledge. In the research, we elaborate on the representation of knowledge in an intelligent authoring shell–which is an ITS generator system–Tutor-Expert System. Within TEx-Sys knowledge is represented through semantic networks with frames and production rules. Nodes are used for representation of domain knowledge objects, while links show relations among them. Besides, TEx-Sys supports properties and frames, as well as property inheritance and frames containing a conclusion-making mechanism. In this research, we try to explain of practice ITS application in learning and teaching process. Because, intelligent tutoring systems have been shown to be highly effective at increasing students' performance and motivation. For example, students using Software systems, and IT'S for computers, performed equally well as students taking a theoretical & practice courses in computers but required half as much time covering the material.