Design And Implementation Of MOOC System With Course Recommendation

With the rapid development of information society, great changes have taken place in people’s learning style. More and more people from the traditional way of education to the on line courses,at the same time the new form of large-scale open courses developing rapidly. All of these gave birth to a large number of open course platforms. Open course platforms in our country is still at the starting stage, and a mature curriculum platform has yet not appeared, so domestic courses are generally in the hands of the foreign MOOC platforms. In addition, based on analysis and study, we have found that all of the platforms are facing an important problem that how to deal with these large amounts of basic user information, course information, user comments and other data. An open course platform should be able to use data mining technology to filter, analysis and process a large amount of information data in order to enhance customer reliable recommendations and improve the user experience.In this paper, we use the Spring MVC framework and B/S system architecture. Through the detailed analysis of system requirements, we design and implement an open course platform system. This system is mainly divided into student management platform and teacher management platform. By students management platform students can login and logout, edit individual information, view course information and so on. Student users can also browse other people’s comments, in order to choose their favorite courses. The teacher management platform mainly provides teacher users with management of curriculum information and they also can obtain evaluation feedback. It is convenient for teachers to manage the course information, curriculum content and the content of review. This system not only meets the basic requirements of MOOC platform, but also provides personalized courses recommendation for learners through the recommendation system. It can help users to choose their favorite courses and avoid the information trek caused by massive course information. This system enhances the user experience greatly.Basing on the analysis of the system with demand through the system, this article finally realized a stable, efficient and reliable MOOC system.