The first step in this paper is to establish an integrated education information management platform that utilizes cloud computing as the scheduling center, considering the characteristics of cloud computing. The hierarchical structure of the student information management system and each business function module is designed using the B/S three-layer architecture. The fitness function evaluates individual merit based on K-means teaching data to ensure the genetic algorithm’s population diversity. The analysis model of university teaching data is constructed using the penalty function of chromosomes. The final test results show that when the network data transmission time reaches the 60s, the average network data traffic consumed is 260Byte, which indicates that the constructed student information management system has wide applicability.