Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 10, Issue 1


Published
on

March 19, 2025


Pages


DOI

Article

Design of Artificial Intelligence-Driven Multi-Level Management Strategies for Internationalization Management in Higher Education and Its Feasibility Study

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Authors

Yue Wang Affiliation:
School of Marxism, Guilin University of Electronic Technology, Guilin, Guangxi, 541004, China.
, Jing Gao Affiliation:
School of Marxism, Guilin Institute of Information Technology, Guilin, Guangxi, 541004, China.
and Jia Su Affiliation:
School of Network Information Center, Guangxi Normal University, Guilin, Guangxi, 541004, China.


Abstract

The popularization and application of artificial intelligence technology promotes the improvement of higher education management level, and at the same time brings new opportunities and challenges. This paper aims to design and integrate strategies for educational management information technology integration with artificial intelligence technology. At the same time, in order to evaluate the feasibility of the multi-level strategy of educational management informatization, this paper constructs the evaluation index system of higher education management informatization strategy, based on entropy power method and CRITIC method for combination assignment, establishes the evaluation model based on combination assignment and cloud model, and conducts a case study on the implementation of multi-level educational management informatization construction strategy of a school, which realizes the effect of the implementation from the fuzzy concepts to the quantitative conversion between numerical values. The design of multilevel management in higher education is of theoretical and practical significance. Most of the six evaluation indicators proposed in this paper, namely academic achievement, research ability, teaching ability, career development ability, comprehensive quality and internationalization ability, are located between S4 and S5 levels, i.e., between very good and good, and the comprehensive indicator assessment grade is also located between S4 and S5 levels and closer to S5, which indicates that the implementation of the multilevel management strategy provides a strategic support for the all-around development of students.


Keywords

Combination Empowerment, Entropy Weight Method, CRITIC Method, Education Management Informatization, Cloud Modeling, 97B20


Citation

Wang, Y., Gao, J., & Su, J. (2025). Design of artificial intelligence-driven multi-level management strategies for internationalization management in higher education and its feasibility study. Applied Mathematics and Nonlinear Sciences, 10(1). https://doi.org/10.2478/amns-2025-0440
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