Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India

Research Article

Digital Management of Educational Resource Allocation in Colleges and Universities Based on PSO Algorithm

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  • @INPROCEEDINGS{10.4108/eai.17-11-2023.2342755,
        author={Han  Yu},
        title={Digital Management of Educational Resource Allocation in Colleges and Universities Based on PSO Algorithm},
        proceedings={Proceedings of the First International Conference on Science, Engineering and Technology Practices for Sustainable Development, ICSETPSD 2023, 17th-18th November 2023, Coimbatore, Tamilnadu, India},
        publisher={EAI},
        proceedings_a={ICSETPSD},
        year={2024},
        month={1},
        keywords={pso algorithm college education resource allocation digital management},
        doi={10.4108/eai.17-11-2023.2342755}
    }
    
  • Han Yu
    Year: 2024
    Digital Management of Educational Resource Allocation in Colleges and Universities Based on PSO Algorithm
    ICSETPSD
    EAI
    DOI: 10.4108/eai.17-11-2023.2342755
Han Yu1,*
  • 1: Smart Finance and Economics Industry, Shandong Institute of Commerce and Technology, Jinan, 250103, Shandong, China
*Contact email: yuhan5019@126.com

Abstract

The educational resources of colleges and universities(CU) are an important manifestation of the country's comprehensive strength. In order to make all aspects of the school better serve teaching, provide the people with high-quality, efficient, high-quality and high-level learning environment, and improve students' sense of autonomy, it is necessary to achieve scientific and reasonable allocation of educational resources in CU. This paper mainly uses digital modeling and system testing to compare and analyze the data of digital management(DM) of college education(CE) resource allocation. The experimental data shows that the CPU utilization of the database reaches a minimum of 12% when the response time is the longest, and exceeds 20% when the initial capacity is 50.