University Intelligent Teaching Information Processing Management Platform Based on Resource Clustering Method

To improve the intelligent level of teaching management in colleges and universities, a research on intelligent teaching management platform in colleges and universities based on resource clustering is proposed. On the hardware, this paper implements the platform operation through the user layer, presentation layer, business logic layer and persistence layer. In software design, the classification and storage of teaching resources are completed based on resource clustering algorithm, and the sharing and storage management of data are realized. The functional structure of students and teachers' client is designed based on Web environment, which provides students and teachers with student management services and educational administration function interface services. It also establishes the teaching management service function module to complete the teaching management design of each dimension of the platform for colleges and universities. Through the analysis of experimental demonstration, the functional modules of this platform can correctly handle the process of teaching management affairs. Under the condition of different number of concurrent users, the delay time of this platform is less than 3s, which can provide good performance support and prove the reliability of this platform. This platform can effectively overcome the phenomenon of repeated management in colleges and universities, improve the utilization of teaching resources, and contribute to the intelligent teaching management services in colleges and universities.