Education Dynamic Early Warning System Based on Collaborative Filtering Algorithm

Abstract

The main contradiction of education is the conflict between school education and social interests. Actively adapting to social needs is the basic direction of higher education development and reform. The social impact of talent training is an important indicator to test and evaluate the performance and curriculum quality of colleges and universities. A complete higher education early warning system must cover the whole process related to quality. From the perspective of the whole process of higher education project activities, the process, process and production of higher education system are closely related to the quality of higher education system. The purpose of this paper is to study the research on education dynamic early warning system based on collaborative filtering algorithm. This paper takes the university as an experimental point, discusses the key factors affecting the quality control of the university from the four dimensions of organization, teachers, educational activities and students, and builds a powerful and dynamic early warning system.Experiments have proved that under the influence of the education dynamic early warning system in this paper, the excellent completion rate of the course has increased by 30%. In addition, in the case of parallel login and operation of 300 users in this paper, the system response speed is about 0.3s, and the response is relatively low. Fast and stable performance.