Making Use Of The Data Mining Technology To Realize The Personalized Teaching Of The Remote Teaching System

Personalized Web services has become a global trend of Internet services, all competing for sites to launch their own personalized service. Remote Education System as a special form of network services and realize more of his personality is of special significance. Abilities of individual teaching has always been a goal of teaching system. As a result of the educational system in the past, such as educational resources constraints, this is only the existence of a desire to better people's minds, but in the field of education experts and scholars have never given up the pursuit of this ideal. Personalized education has become a hot issue of education reform, the development of education in the modern history of almost every education reform with a personalized models related to teaching.The new data mining technology from the mass of data found in some of the unknown, the law of value, in order to provide personalized services to the teaching provided strong support. Combination of database and data warehouse technology, such as the use of data mining technology, will take full advantage of the academic records of students, browse mode, on-line data records, access to learning characteristics of the teachers will be teaching experience into a computer's operating strategy to the rules, so Could meet the requirements of the establishment of a more successful personalized distance learning system.In this paper, personalized distance learning system model of the concept, which will be the application of distance learning a new model. This paper describes the system of data mining in personalized distance learning system theory and composition, proposed the establishment of a personalized distance learning system model of the specific ideas and solutions. Made in data mining personalized distance learning system in the specific application of distance learning system for students to focus on the needs of resource allocation to support the student's individual learning needs. The introduction of personalized distance learning system is an intelligent system that can be more informed and timely learning characteristics, abilities, interests and hobbies, and so on, and based on this dynamic adjustment factors teaching strategies, truly abilities, Personalized teaching. This article is divided into six parts, the first chapter to choose "the use of data mining techniques to achieve long-distance teaching system of teaching personality" of the relevant scientific background, the significance of research; chapter of the distance learning system, a comprehensive overview; ChapterⅢ, Introduced the concept of data mining technology, the characteristics, classification, models, algorithms and so on, and the author focuses on research-related content; ChapterⅣof the author based on a data mining system of distance learning model to overcome the traditional distance learning The drawbacks of the system, using data mining techniques to achieve a truly personalized education, distance learning will become a new model of the system; ChaptersⅤandⅥintroduced the Data Mining in the distance learning system in a specific application, the fifth chapter of the algorithm ID3 decision tree structure for learner performance learner classification, while the realization of personalized teaching, the Sixth Chapter describes how to use log Web Mining found that students frequently traverse the path in order to achieve personalized learning a dynamic interface.