Design And Implementation Of Network Video Teaching System Based On J2EE Technology

The network teaching platform breaks through the time and space constraints of traditional classroom teaching,so that students can get teachers' counseling anytime and anywhere,which fully embodies the modern teaching thought which is teacher-oriented and student-oriented in modern education.This paper takes the construction of network video teaching system as an example to study the design and implementation of network video teaching system.The "micro course college" network video teaching system adopts the B/S three layer structure based on J2EE technology to design the overall architecture of the system.The B/S three layer structure facilitates the sharing of information in the network video teaching system,and improves the scalability of the network video teaching system.Through the investigation of the network video teaching system,using the UML case diagram to analyze the network video teaching system case,determine the network video teaching system mainly includes the module curriculum implementation of network course learning network video upload and maintain the network video course management module,course provides query and learning services for students,provide management and the basic curriculum management system management of three functional modules and system administrator.In the construction of "micro Courses" network video teaching system,in order to facilitate the students can quickly query the network video courses required by the system,using a hybrid collaborative filtering algorithm,similarity and course based on users,combined with the evaluation results of course users predict students' preference for teaching,automatic recommendation to achieve the course.In the course of using collaborative filtering algorithm for curriculum recommendation,the problems such as sparse curriculum recommendation matrix,new curriculum can't be effectively recommended and recommended,and the applicability of the results is not strong.Through the segmentation of user evaluation matrix,the large user evaluation matrix is divided into multiple sub-matrices according to the column to improve the efficiency of recommendation algorithm.The application of the curriculum recommendation algorithm enables students to quickly query the courses required by the students in the vast amount of video teaching materials,thus improving the usability and user friendliness of the system.The results show that the construction of the network video teaching system can meet the needs of the users through the system to realize anytime and anywhere through the system.The research on the system management function,the course learning function and the system management function in the network video teaching system,and the test of the system performance,And to enhance the teaching needs.