The Design And Application Of Mobile Educational Administration Management System Based On Wechat

In recent years, The innovation achievement, which is WeChat as the representative of the "Internet plus", has gradually penetrated into every field of social production and life. There is a new and challenging topic facing on teaching management workers. The topic is that How to make use of the advanced information technology and modern teaching management thought to realize the modern teaching management environment.The traditional university teaching activities characteristics into the micro channel platform for system analysis and implementation, build a new mobile Internet technology system of media activities of students in the teaching of communication platform, establish student database and services database, provide effective reference for comprehensive management of the colleges and universities.In this paper, based on the WeChat platform and system construction methods, the use of WeChat gateway and other technologies in the server and PC terminal to achieve a mobile teaching management system. The system is mainly based on ME Java framework, using the idea of layered software development, design and implementation of a dedicated mobile teaching management system. System to achieve the teaching management, geographic information push management, micro campus mall management and other functions.Based on micro channel platform of mobile educational administration management system related research is very rare, and most of the research in the application level analysis, related to solve the micro channel student users to maintain data mining literature is more rare. Under normal circumstances, the number of users in the WeChat teaching platform is the highest number of hits in the university elective course project is often not the highest probability of selection of the students choose the highest probability of elective courses. Therefore, the algorithm to select a college elective course project is high class X students user clicks and class X students user selection probability of permutations and combinations of elective into one or several of the higher power as a compromise recommendation. Based on the above two points, this choice of permutation and combination way to enumerate all sorts, in all sorts of situations, the students elective success probability to measure which combination is better, according to a probabilistic size recommended to students.Experimental results show that:on the premise of high hardware configuration, the running efficiency is no longer the focus of the results of the algorithm, and the accuracy of the algorithm has become the main basis for the evaluation of the algorithm. In the image, the gray opening operation and closing operation under various conditions, the improved clustering algorithm is more effective than the K-means.