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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.
About the author
Dr. M. S. Ali works as Principal at PRMCEAM-Badnera, India. He has obtained M. Tech in Electrical Engg and Ph.D. in Electronics. He has 35 years of experience in education field. His research endeavor comprises of 24 Patents, 4 copyrights with 45 research publications. 25 research scholars have been awarded with Ph.D degree under his guidance.
