Evaluation of Intelligent Student (Work) Management and Evaluation Information System Based on K-means Algorithm

Student guidance is an important part of school leadership. Currently, only the computerization of student data has been widely practiced. However, due to the diversity of data sources, the lack of structured data on student guidance, and the use of subjective evaluations and single indicators as evaluation criteria, the technical computerization of the student guidance evaluation process is still in its infancy, and the maturity of the technology is not yet sufficient. The evaluation of the effectiveness of student guidance has always been based on subjective judgment, and the experience of expert groups is not always inherited and retained. Therefore, it is necessary to introduce mechanisms in the management system to optimize evaluation effectiveness, such as eliminating errors and utilizing past data. The article focuses on the intelligent information system for management and assessment of college graduates (work) based on K-means algorithm. Firstly, the K-means algorithm and the intelligent student management and assessment system are briefly introduced; secondly, the theoretical basis of the K-means algorithm is elaborated; finally, the paper conducts an empirical study on student management and assessment based on this method. The results of the study show that the intelligent information system (questionnaire) for student management and assessment based on the K-means algorithm is more comprehensive than the traditional assessment method.