A Fuzzy-Neural Intelligent Tutoring System for the World Wide Web

Web-based intelligent tutoring systems attempt to integrate artificial intelligence techniques with tutoring systems for making teaching learning process similar to face-to-face learning. A generic web-based Intelligent Tutoring system is composed of five modules namely Student Module Tutor Module Domain Module Expert Module and Interface Module. This book describes the modeling and design of a fuzzy neural intelligent tutoring system. The proposed model of fuzzy neural intelligent tutoring system achieves the goals of intelligence and adaptivity in tutoring by dividing it into sub models like a student model based on current research in adaptive network-based fuzzy inference system (ANFIS) a tutor model based on a fuzzy finite state machine implemented through ANFIS a domain knowledge model based upon current XML technology and an adaptive courseware generator implemented through ANFIS.