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Evaluation Model of College English Education Effect Based on Big Data Analysis

Author

Listed:
  • Yan Jing

    (School of Foreign Languages, Jiaozuo University, Jiaozuo 454000, P. R. China)

  • Zhou Mingfang

    (School of Foreign Languages, Jiaozuo University, Jiaozuo 454000, P. R. China)

  • Chen Yafang

    (��School of Marxism, Jiaozuo University, Jiaozuo 454000, P. R. China)

Abstract

The evaluation system of education effect is an important part of the whole teaching process, and the establishment of the evaluation system of college English teaching effect is an important work to test the effect of college English teaching. The traditional evaluation model is widely used and cannot be applied to a variety of teaching situations. Therefore, this paper proposes an evaluation model of college English education effect based on big data analysis. This paper determines the selection principle of the evaluation index of college English education effect, and on this basis, selects the evaluation index factors of college English education effect (experts, students and teachers), calculates the weight and membership matrix of the evaluation index, and outputs the comprehensive evaluation results of college English education effect, which realizes the construction of the evaluation model of college English education effect. The results show that: under the background of the experimental subjects (senior one and senior two), the evaluation errors of English education effect meet the needs of colleges and universities, which proves that the construction model is effective and feasible, and provides the basis and support for the reform of college English education. The range of assessment errors is between 0.78% and 1.44%, all consistent with the demands of the evaluation of the English education effect which demonstrates that the model is successful.

Suggested Citation

  • Yan Jing & Zhou Mingfang & Chen Yafang, 2022. "Evaluation Model of College English Education Effect Based on Big Data Analysis," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 21(03), pages 1-17, September.
    • Handle: RePEc:wsi:jikmxx:v:21:y:2022:i:03:n:s0219649222500460
    DOI: 10.1142/S0219649222500460
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