Prospects for the Application of Data Analysis Methods in the Evaluation of English Teaching in Colleges and Universities

[1] Yu, Y., Zhao, S., Liu, L., & Liu, J. (2017). An innovative model of college english teaching based on webbased learning resources and mooc. Boletin Tecnico/Technical Bulletin, 55(8), 310-317. Search in Google Scholar

[2] Xiaojun, Z. (2017). The application of computer technology in mongolian college english teaching. International Journal of Emerging Technologies in Learning (iJET), 12(02), 52. Search in Google Scholar

[3] Feng, T. (2017). Research on teaching model of mooc-based college english flipped classroom. Boletin Tecnico/Technical Bulletin, 55(20), 503-508. Search in Google Scholar

[4] Peng, B. (2017). Construction and application of the best teaching mode of college english in big data. International Journal of Emerging Technologies in Learning, 12(9), 41. Search in Google Scholar

[5] Zhang, J., & Feng, H. (2021). Mobile terminal system of intelligent college english teaching and training mode. Mobile Information Systems. Search in Google Scholar

[6] Lang, A. (2022). Evaluation algorithm of english audiovisual teaching effect based on deep learning. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[7] Zhen, C. (2021). Using big data fuzzy k-means clustering and information fusion algorithm in english teaching ability evaluation. Complexity, 2021(5), 1-9. Search in Google Scholar

[8] 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

[9] 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

[10] 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

[11] Wang, B., Wang, J., & Hu, G. (2017). College english classroom teaching evaluation based on particle swarm optimization – extreme learning machine model. International Journal of Emerging Technologies in Learning, 12(5), 82. Search in Google Scholar

[12] Liu, H., Chen, R., Cao, S., & Lv, H. (2021). Evaluation of college english teaching quality based on grey clustering analysis. International Journal of Emerging Technologies in Learning (iJET)(02). Search in Google Scholar

[13] 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

[14] Wang, Y., Zhang, Y., Dong, Z., & Jan, N. (2022). Neural network-based approach for evaluating college english teaching methodology. Mathematical Problems in Engineering, 2022. Search in Google Scholar

[15] Mo, J., & Mao, C. (2017). An empirical study on the effectiveness of college english reading classroom teaching in the flipped classroom paradigm. Revista de la Facultad de Ingenieria, 32(10), 632-639. Search in Google Scholar

[16] GengLimei. (2021). Evaluation model of college english multimedia teaching effect based on deep convolutional neural networks. Mobile Information Systems. Search in Google Scholar

[17] Chen, Y. (2021). College english teaching quality evaluation system based on information fusion and optimized rbf neural network decision algorithm. Journal of Sensors. Search in Google Scholar