The Study Of Learning Resource Standardization Model And Navigation Technology In Distance Education

With the rapid development of computer technology and the gradual improvement of computer network, distance education as a new-style teaching pattern plays an important role in modern education, for it accelerates the development of our countrywide education and meets the need of the durative, the widespread, the individuation and the socialization of education. But current distance education resources can't be totally shared and the teaching system is short of intellectualization. The American ADL organization's SCORM model was deeply studied after the present status of standardization of education resources at home and abroad was surveyed. Aiming at the shortcoming of SCORM model this thesis made a study of the distance education courseware's standardization problems, namely, the repeated utilization and sharing of the courseware resources and the problems based on this such as the intellectualization of tutoring. First, the knowledge model and the student model based on knowledge system are put forward in the thesis. On the basis of the two models, the STCO model, which includes the learning contents that can be shared, is set up, in which the XML technology is used. Three key problems about the STCO model are mainly studied, learning resource level, metadata and the runtime API. The STCO model meets the need of exchanging courseware between different teaching systems and the need of students selecting individualized learning materials, which lays a foundation for the intellectualized teaching system. Furthermore, this paper has done in-depth research in intelligent navigation of the intelligent tutoring system. First, the intelligent navigation algorithms of the topic graph has been formatted based on the definition of the topic model, and the semantic similarity algorithms for the students knowledge structure has been put forward to case-based reasoning the and give students some instruction based on previous teaching experience. Second, fuzzy multiple objects decision theory has been applied to produce the method to select the student learning resources based on the agent and web services. The learning resource could be shared on the internet through the web services technology, and the individualization teaching purpose could be achieved at the same time. At last, based on the theories and methods this paper has produced, the prototype of intelligent tutoring system has been developed. The software and hardware environment of the system development and the run deck has been pointed out and the system object has been fixed. The system structure of the prototype system has been designed and divided into several function modules. As to the most important part of the intelligent tutoring system, the model is setup in UML language. The use cases and object models of the system are constructed and some of the function has been realized. The prototype system demonstrates that the research result of this paper could be achieved under current technology condition.