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Wang, L., Li, Y., Wang, Z., Shu, S., Zhang, Y., & Wu, Y. (2018). Improved english immersion teaching methods for the course of power electronics for energy storage system in china. IEEE Access, 6, 50683-50692.Search in Google Scholar
Wang, Y. (2020). Similarity detection of english text and teaching evaluation based on improved tcuss clustering algorithm. Journal of Intelligent and Fuzzy Systems, 40(4), 1-11.Search in Google Scholar
A, Y. Z., A, H. L., A, P. Q., A, K. S., B, J. C., & D, Z. N. A. C. (2020). Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization - sciencedirect. Neurocomputing, 415, 84-95.Search in Google Scholar
Wang, Y. (2020). Evaluation model of mixed english teaching model of network combined classroom under the influence of covid-19 epidemic. Basic & clinical pharmacology & toxicology.(S1), 127.Search in Google Scholar
Gao, F. (2020). Establishment of college english teachers’ teaching ability evaluation based on clementine data mining. Journal of Intelligent and Fuzzy Systems, 38(6), 1-9.Search in Google Scholar
Xin, Y. (2021). Analyzing the quality of business english teaching using multimedia data mining. Mobile Information Systems.Search in Google Scholar
Starck, J. R., Richards, K. A. R., Lawson, M. A., & Sinelnikov, O. A. (2019). The influence of socialization factors on physical educators’ conceptions of assessment and perceived quality of assessment. Journal of Teaching in Physical Education, 40(1), 1-10.Search in Google Scholar
Liu, S. (2021). Research on the teaching quality evaluation of physical education with intuitionistic fuzzy topsis method. Journal of Intelligent and Fuzzy Systems, 40(5), 1-10.Search in Google Scholar
Shui‐yun Deng, & Que, X. (2019). Research on the teaching assessment of students of science and engineering teachers in a university. Computer Applications in Engineering Education.Search in Google Scholar
Man, Z. (2022). Research on the evaluation method for english teaching efficiency based on data mining. International journal of continuing engineering education and life-long learning.Search in Google Scholar
Zhang, Y. (2021). The development of an evaluation model to assess the effect of online english teaching based on fuzzy mathematics. International Journal of Emerging Technologies in Learning (iJET)(12).Search in Google Scholar
Wu, F., & Fang, Y. (2022). Multilevel evaluation of teaching quality in higher education using single-valued neutrosophic set. Mobile Information Systems.Search in Google Scholar
Jiang, Y., Zhang, J., & Chen, C. (2018). Research on a new teaching quality evaluation method based on improved fuzzy neural network for college english. International Journal of Continuing Engineering Education and Life-Long Learning, 28(3-4), 293.Search in Google Scholar
Zhang, L. (2022). Optimized algorithm analysis of factors affecting the effectiveness of english teaching under the new curriculum concept. Scientific Programming.Search in Google Scholar
Deng, S. Y., & Que, X. (2019). Research on the teaching assessment of students of science and engineering teachers in a university. Computer applications in engineering education, 27(1), 5-12.Search in Google Scholar
Lu, C., He, B., & Zhang, R. (2021). Evaluation of english interpretation teaching quality based on ga optimized rbf neural network. Journal of Intelligent and Fuzzy Systems, 40(2), 3185-3192.Search in Google Scholar
Wenming, H. (2021). Simulation of english teaching quality evaluation model based on gaussian process machine learning. Journal of Intelligent and Fuzzy Systems, 40(2), 2373-2383.Search in Google Scholar
Zhu, Q., & Xiao, H. (2017). An improved evaluation method of college english proficiency evaluation: an survey from college students. Revista de la Facultad de Ingenieria, 32(3), 133-138.Search in Google Scholar
GengLimei. (2021). Evaluation model of college english multimedia teaching effect based on deep convolutional neural networks. Mobile Information Systems.Search in Google Scholar
Xiao, M., & Yi, H. (2020). A practical and efficient multi-assessment system for vocational teaching based on machine learning. International Journal of Electrical Engineering Education, 002072092094057.Search in Google Scholar