Improving the timeliness of college English teaching model based on multilevel fuzzy evaluation
Published Online: Dec 11, 2023
Received: Jan 29, 2023
Accepted: Jun 21, 2023
DOI: https://doi.org/10.2478/amns.2023.2.01438
Keywords
© 2023 Bingliang Pang et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
In order to meet the changing educational needs, this paper collects the factors related to the teaching mode through the method of multilevel fuzzy evaluation and establishes a multilevel fuzzy evaluation system including the factors of teaching methods, textbook selection, learning resources and so on. To obtain quantitative satisfaction results, fuzzy numbers are employed to calculate the satisfaction evaluation of teaching programs. Establish a judgment matrix using triangular fuzzy numbers and hierarchical analysis to assign weights to different indicators. The evaluation results of each factor are synthesized to obtain the evaluation results for the timeliness of the English teaching method. The results show that although there is not much difference in the basic level of English between the experimental class and the control class, the experimental class, after using the method of this paper, has a measure of qualitative data higher than the standardized metric of 71.195, and the academic grade reaches a full score of 10. It is further verified that by using the method based on multilevel fuzzy evaluation, universities can optimize their teaching mode in a more targeted way to adapt to the increasingly changing educational environment.