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Educational Evaluation and Decision-Making Based on Statistical Data

Author

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  • Yunqiang Xu

    (Zhengzhou College of Finance and Economics, China)

Abstract

Statistical prediction method and support vector machine algorithm are used to analyze the related problems in the field of education, and the educational evaluation and decision-making methods based on statistical data are explored. By collecting and sorting out the relevant data of the number of primary school students in Zhengzhou, this paper accurately predicts the development trend of the number of primary school students by using statistical forecasting methods, reveals the internal relationship between population change and educational demand, and provides an important basis for the rational planning of educational resources. The support vector machine algorithm is used to deeply evaluate the quality of education, dig out the potential value information in a large number of data, and provide scientific and accurate support for educational decision-making, which is helpful to evaluate the educational effect more accurately, optimize the allocation of educational resources, and improve the quality of education.

Suggested Citation

  • Yunqiang Xu, 2025. "Educational Evaluation and Decision-Making Based on Statistical Data," International Journal of Decision Support System Technology (IJDSST), IGI Global Scientific Publishing, vol. 17(1), pages 1-24, January.
    • Handle: RePEc:igg:jdsst0:v:17:y:2025:i:1:p:1-24
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    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJDSST.392480
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    References listed on IDEAS

    as
    1. Meng, Fan-Yong & Zhao, Deng-Yu & Gong, Zai-Wu & Chu, Jun-Fei & Pedrycz, Witold & Yuan, Zhe, 2024. "Consensus adjustment for multi-attribute group decision making based on cross-allocation," European Journal of Operational Research, Elsevier, vol. 318(1), pages 200-216.
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