Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 8, Issue 2


Published
on

November 6, 2023


Pages


DOI

Article

Analyzing the influencing factors of informatization teaching quality in higher vocational education using fuzzy comprehensive evaluation model

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Authors

Man Jia Affiliation:
Teacher Work Department, Henan Institute of Economics and Trade, Zhengzhou, Henan, 450000, China.


Abstract

This paper compares the characteristics and methods of informatization teaching in higher vocational education with traditional teaching modes, extracts the factors affecting the quality of higher vocational informatization teaching, and constructs a preliminary evaluation index system of higher vocational informatization teaching quality based on evaluation principles and evaluation strategies. At the same time, the qualitative evaluation was transformed into a quantitative evaluation based on the affiliation theory of fuzzy mathematics, the index weight set was established, and the fuzzy comprehensive evaluation model was designed comprehensively. In the evaluation results, the ratios of teachers’ factor, students’ factor, teaching content influence factor, and teaching effect on the quality of information technology education were 0.39, 0.33, 0.34, and 0.36.


Keywords

Fuzzy comprehensive evaluation, Index weight set, Informatization teaching, Affiliation theory, Higher vocational education, 97D60


Citation

Jia, M. (2023). Analyzing the influencing factors of informatization teaching quality in higher vocational education using fuzzy comprehensive evaluation model. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.00981
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