Design and evaluation of an adaptive and intelligent tutoring system by expert system

Abstract

Nowadays, adaptive and intelligent tutoring system (AITS) is one of regarded topics. So researchers are trying to optimize and expand its application in the field of education. This paper integrates AITS with expert system technology. It is intelligent because it can interact with the learners and offer them some subjects based on pedagogy view. Learning process in this system is as follows. First, the expert system plans a pre-evaluation and then calculates his score. If the learner gets the required score, the activities will be trained. Then the learner will be evaluated by a post-evaluation. After that, the system offers guidance in learning other activities. For that purpose it takes into account achievements, learning context and skill levels, by analyzing the other activities already carried out. The analysis is based on a set of rules. The proposed system covers all important properties such as hypertext component, adaptive sequencing, problem- solving support, intelligent solution analysis and adaptive presentation while available systems have only some of them. It can significantly improve the learning result. In other words, it helps learners to study in "the best way".