Application of Analytic Hierarchy Process (AHP) in the Evaluation of the Intelligent Teaching System (ITS) Module

Intelligent Tutoring System (ITS) is the main form of combination of artificial intelligence technology and education. Objectively and scientifically assessing the modules of the intelligent teaching system have an important guiding role in improving the effect of system teaching. This study adopts the evaluation of the intelligent teaching system evaluation of the Analytic Hierarchy Process (AHP). AHP can effectively build a system module evaluation mode, layered the four major modules of the intelligent teaching system, obtain the weight distribution of each module through quantitative methods, and determine the effectiveness of the weight through consistency testing. The experimental results show that the intelligent human–machine interface module has a significant effect on the improvement of system teaching effects. This study provides comprehensive and systematic methods for evaluation of the intelligent teaching system module, and provides valuable reference for future decision-making analysis of the development and design of intelligent teaching systems. This method also provides reference significance for other system evaluation research.