Frontiers in Educational Research, 2024, 7(7); doi: 10.25236/FER.2024.070738.
Jinyi Bai
Yinchuan University of Science and Technology, Yinchuan, 750001, China
In the era of big data, higher education faces unprecedented challenges and opportunities. This paper aims to explore the application of mathematical modeling and multi-objective optimization methods in higher education big data. By systematically analyzing the theoretical foundations of mathematical modeling and multi-objective optimization and combining them with the characteristics and processing methods of higher education big data, this paper proposes optimization strategies suitable for higher education. The research shows that mathematical modeling and multi-objective optimization significantly improve the efficiency of teaching resource allocation, enhance teaching quality, and optimize student learning paths. This study provides scientific decision support and practical guidance for higher education administrators, promoting the effective utilization of educational resources and the overall improvement of education quality.
higher education, big data, mathematical modeling, multi-objective optimization, resource allocation, teaching quality
Jinyi Bai. Mathematical Modeling and Multi-Objective Optimization Methods for Big Data in Higher Education. Frontiers in Educational Research (2024) Vol. 7, Issue 7: 259-264. https://doi.org/10.25236/FER.2024.070738.
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