Design of Intelligent Integrated Student Management Terminal Based on K-Means and ANN Algorithm

This study aims to design an intelligent student management terminal, which integrates K-means clustering and artificial neural network (ANN) to improve the efficiency and personalized service of student management system. Firstly, we introduce K-means and Ann Algorithms, and discuss their applications in student data analysis. Then, we propose a design scheme of intelligent student management terminal which integrates these two algorithms, and describe the implementation process in detail. Through the experiment of real student data set, we demonstrate the performance and effectiveness of the system. The experimental results show that the terminal design can identify student groups more accurately and provide personalized management services. Finally, the limitations of the design and the future improvement direction are discussed.