USING INTELLIGENT ALGORITHMS TO GUIDE A BEST SOLUTION EXPLANATION MODEL FOR AN INTELLIGENT TUTORING SYSTEM IN ALGEBRA MANIPULATION

The aim of MathWeb is to augment students ’ learning processes in algebra manipulation. Previous research has shown that the system can provide more effective learning experience than using traditional methods. In this paper, we describe the architecture of MathWeb II, which is based on a set of new algorithms including a model tracing reasoning mechanism and term rewrite technique to support students ’ manipulation skill in linear equations. One of the most important aspects of the MathWeb II is to provide “optimal solution ” explanation to inform the student how to solve linear equations in more effective ways which can help the student to have a better understanding about their learning process. The paper starts with a brief description of the MathWeb II system’s architecture. This will be followed by a detailed presentation of the organisation of the best solution explanation model for linear equations. Finally, the paper will draw some general conclusions and present a description of some further work. 1