The Design And Implementation Of Learning Behavior Mining In E-Learning Systems

With the arrival of the information age, and the advance of Internet technology, online education has become a effective way by using social advantage educational resources. E-learning system contain the multiple fields of discipline, and brings a breakthrough-progress for education.For the lack of the current E-learning system in personalized learning implementation, combining with the Web mining process and key technologies, this paper presents a kind of E-learning system model based on the learning behavior mining. In order to gain the learners’learning objectives, learning style, preferences and other characteristics of information, Web browser plug-in technology is used in the learning process to implicitly access to the learners’behavior. Then, establish the interest model to achieve personalized E-learning system better.The main work included in the paper:1. Summarize the related E-learning theory, development process, and Web mining techniques, the achieving means of Web mining technologies, and personalized recommendation technology is formed to an overall understanding. Those can provide the theoretical basis and theoretical guidance for designing and implementing the learning behavior mining in E-learning environment.2. Introduce the basic method of both explicitly and implicitly acquiring about learning behavior. Then analyze interest modeling based on in learning behavior, and specifically address the exemplification of the learner interest from the learning behavior. Finally, present the interest estimation based on five typical learning behaviors.3. According to the sources of learning behavior data, the content and format of the server side, client and proxy server-side data are introduced respectively. Then, how to use the cookie and the method of installing the browser plug-ins to acquire of learning behavior in the client are introduced, too.4. Design the E-learning system model based on the client browser plug-in. And the introductions are focused on designing and implementing of client behavior-acquiring plug-in, and personalization engine design in server-side.On the basis of the above study, in order to provide more detailed and accurate reference for interest modeling, the future work will be mainly about improving the acquisition of learning behavior. Establishing a more comprehensive and accurate analysis model of the interest degree is to construct a more effective way to mine the learners’real interest in learning. Improving the design of personalized learning recommendation engine, and implementing personalized learning service, can provide a guarantee for realizing personalized learning in E-learning system.