Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24–26, 2023, Zhengzhou, China

Research Article

Higher Education Management Based on Intelligent Decision Support System

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  • @INPROCEEDINGS{10.4108/eai.24-11-2023.2343592,
        author={Ya  Li and Zhe  Gao and Xiuping  Xu},
        title={Higher Education Management Based on Intelligent Decision Support System},
        proceedings={Proceedings of the 3rd International Conference on Internet Technology and Educational Informatization, ITEI 2023, November 24--26, 2023, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={ITEI},
        year={2024},
        month={4},
        keywords={intelligent decision support system; higher education management; educational technology; data analysis},
        doi={10.4108/eai.24-11-2023.2343592}
    }
    
  • Ya Li
    Zhe Gao
    Xiuping Xu
    Year: 2024
    Higher Education Management Based on Intelligent Decision Support System
    ITEI
    EAI
    DOI: 10.4108/eai.24-11-2023.2343592
Ya Li1, Zhe Gao1, Xiuping Xu1,*
  • 1: Changshu Institute of Technology
*Contact email: 254050075@qq.com

Abstract

In today's society, higher education management is facing increasingly complex challenges and changes. Driven by globalization and technological advancement, higher education institutions need to adapt to the changing environment and provide high-quality educational services. To meet these challenges, policymakers need accurate data and information to guide their decisions. Therefore, data collection for decision-making projects and objectives in higher education management becomes crucial. In higher education administration, decision-making projects cover aspects such as enrollment management, student assessment, and financial management. These programs require policy makers to make informed decisions based on the facts to improve the quality of education and student satisfaction. Through the analysis of students' learning situation and needs, this paper finds that intelligent decision support system decision makers can understand students' needs and trends, so as to make more accurate enrollment management decisions. Intelligent decision support system helps decision makers make more informed decisions and improve education quality and student satisfaction through functions such as data analysis, real-time feedback, resource optimization and accurate decision-making.