Designing And Achievement Of A Personalized Online Learning Platform Based On WEB Log Datamining

The traditional education have been changed by the rapid development of internet.At the same time, the internet is accelerating and promoting the development of new education pattern.Personalized Web-based learning combines personalized service and remote studys. In a personalized teaching system,The learner model provide important informations of learner's studies. So a sharing, dynamic learner model can not only improve the interoperability within sub_systems,data-sharing,and it might also understand the student interest hobby recently and study progress,thus provides important basis of the personalized teaching. This paper base on network educational technique standard and weblog data mining,to research questions of network study learner modelling.The work include:①Introduced the data mining analysis method,Application scope, and most commonly used technologies. Discussed in detail with the weblog datamining methods. Described general process of weblog datamining.②Designed a learner model, And in view of current network study personalization demand, Applied a personalized service idea in the network study.③Analysed the visit habit of the learner system, Made the stand page with taking the template and the module as the unit. And made automatic changed pages according to the weblong datamining result to fit the learner's individuality characteristic.The paper discussed how to found the learner's trick recognition methodBase on weblog datamining. And do requirement Analysis and Detailed design with UML language,I have made the personalized teaching model on the network. And by using commonly used technologies -ASP.NET, JAVA and SQLSERVER2003 ,I Established the personalized teaching platform on web.The experiment proved that this system has certain intelligence.