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Title: Study on the evaluation method of students' English classroom performance based on big data analysis

Authors: Wenting Ma

Addresses: Foreign Languages School, Luoyang Institute of Science and Technology, Luoyang, Henan, 471023, China

Abstract: In order to overcome the problems of low rationality, low significance and low accuracy of the current evaluation methods of students' English classroom performance, this paper proposes a method based on big data analysis. It uses the method of questionnaire to obtain the evaluation indicators of experts and students, uses the method of vector normalisation to deal with the original decision matrix, and uses the information entropy to calculate the corresponding weight of the evaluation indicators of students' English classroom performance. It also uses the product operator to aggregate the evaluation matrix, combines the reference point method model, the total multiplication model and the ratio system to obtain the evaluation value of students' English classroom performance, and to achieve the evaluation of students' English classroom performance. The experimental results show that the proposed method is more than 90% reasonable, more than 90% significant, and more than 93% accurate.

Keywords: big data analysis; evaluation indicators; classroom performance; evaluation methods.

DOI: 10.1504/IJCEELL.2021.10033053

International Journal of Continuing Engineering Education and Life-Long Learning, 2022 Vol.32 No.1, pp.19 - 34

Received: 28 Oct 2019
Accepted: 24 Dec 2019

Published online: 01 Mar 2022 *

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