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Title: Construction of intelligent student management evaluation information system based on clustering algorithm

Authors: Hongyuan Ma; Yin Chen; Yujia Song

Addresses: College of International Business, Jiangxi Tourism and Commerce Vocational College, Nanchang, 330000, Jiangxi, China ' Dean's Office, Nanchang Normal University, Nanchang, 330000, Jiangxi, China ' School Office, Jiangxi Tourism and Commerce Vocational College, Nanchang, 330000, Jiangxi, China

Abstract: For a long time, the management evaluation information work of students has relied on the subjective evaluation of people. Such evaluation is not highly professional and scientific, and the evaluation experience is not easy to be inherited and preserved. This paper selected the K-means clustering algorithm to build an intelligent learning management evaluation information system, because it can better reflect the actual needs and solve the application requirements according to the actual needs. This paper uses the grades of 20 college students as data samples and applies the K-means clustering algorithm to the intelligent student management and evaluation information system. The management and processing mechanism of students in colleges and universities had been improved to improve the speed of data analysis, so that the outstanding rate of students had increased by about 20% compared with the original. This could help the decision-making of colleges and universities to be more professional. Through mobile communication intelligent decision support system, the construction of the student management evaluation information system was realised.

Keywords: k-means clustering algorithm; information evaluation system; performance analysis; clustering algorithm; student performance.

DOI: 10.1504/IJCEELL.2026.151811

International Journal of Continuing Engineering Education and Life-Long Learning, 2026 Vol.36 No.7, pp.1 - 22

Received: 29 Apr 2025
Accepted: 12 Sep 2025
Published online: 20 Feb 2026 *