Web Mining And Its Application In Distance Education

With further development and application of computer technology and Web technology, Distance Education has also developed into a third generation. And Web Based Distance Education is currently one of the hottest areas on Web research and application. During these years, the application of Distance Educational System has made great achievements at home and abroad. At the same time, more and more universities and educational enterprises have now created their own Distance Education websites.At present, many Web-based Distance Education systems are usually static and the study resources are also seldom updated. Moreover, these systems do not personalize the interaction or customize the learning materials to meet individual student's needs, since the students are of different levels and have different learning habits. And the design and teaching of the course materials for these systems are directed by the traditional class experience too, without the consideration of the learning differences between individual learners and Distance Education environment. However, a lot of information about student learning has been accumulated in most Distance Education websites, but it is not efficiently used. Therefore, based on the careful research of Web Mining and its procedures, in this paper we try to apply the Web Mining technology for Distance Education and also manage to present an intelligent and customized Distance Education model with suitable learning environment as well as all the realization process.The thesis is organized as following. First, the features of modern Distance Education and its characters are presented, and the concept and algorithm of Data Mining is also discussed so as to introduce the Web Mining based intelligent and customized Distance Education Model. Afer the analysis on the web mining techniques and new trends as well as the detailed discussion about the concept and process of Web Mining, the author proposes an algorithm to apply the Multi-Dimensional Data Cube for mining of Multi-Dimensional Association Rules, and an algorithm to automatically find pages in a website whose saving location is different from where visitors expect to find. Meanwhile, the paper uses the rules and patterns obtained from the Web Log analyzing and mining into the building of NBTVU Open Education Website to optimize it's efficiency. Finally, the paper also analyzes the development of Web Mining Technology, and gives the perspective of the Intelligent Distance Education model.