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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.