Multimedia Intelligent Tutoring System Research And Design

As an important research area in the field of artificial intelligence, Intelligent Tutoring System (ITS) is a multidisciplinary science, which is related to artificial intelligence, computer science, cognitive science, pedagogy, psychology and behavior science, etc. The goal of an ITS was to reproduce the behavior of an excellent human tutor who can adapt his teaching rhythm of the specific learner, realizing most-effective individualized instruction. Since its beginning in the 1970's, ITS has evolved for 30 years through many stages with remarkable achievements. With the development and popularization of modern computers, especially the rapid development of modern multimedia technologies, network technologies and the performance of the computer, the application of computers in human education has been speeded up greatly. Facing the situation of increasing function perfection and intelligent characteristics of ITS, this paper aims at developing high intelligent, interactive, flexible and adaptive multimedia intelligent tutoring system integrated in order to satisfy the increasing demand of intelligence, fast-changing and complicated multimedia formats, upgrading swiftly of computer software and the climbing prices of the R&D expenses.For the goal mentioned above, this paper focuses its research on two kernel issues:one is the intelligent organization of the knowledge, evolving studies on knowledge in the research of domain expert: knowledge acquisition, representation, storage, structure, etc.; the other is the dynamic deployment of knowledge, using integrated multiple user modeling technologies, according to different learning style, preference and detail requirement of the individual student, carries out intelligent knowledge adjustment, reaching teaching goal of the system, fulfilling individualized intelligent instruction process.This paper puts forward SC-grammar based formalism for complex domain knowledge and fine-grained knowledge modeling approaches, realizing board semantic relationships of the complicated knowledge of the ITS by structural and hierarchical attributes annotation of the knowledge concept, simplifying knowledge processing and speeding up knowledge arrangement in the meanwhile; with knowledge tree augmentation model created inovatively, realizing student modeling and teacher modeling all-in-one and dynamically, integrating seamlessly with dynamic teaching planning and knowledge learning process, with dynamic construction of the knowledge tree and the mapping of the knowledge concept structure and its semantics; with object-oriented design(OOD) and software agents application, a clear structure, high intelligence of the system is achieved with intelligent functions easy to add and/or modify; knowledge storage and calling are independent to each other by hierarchical indexing of the knowledge, keeping organically relationship of the knowledge, making knowledge can be added and maintained dynamically and systematically in the meanwhile, assuring correct locating and real-time diagnosing of student...