Research on Multiple Evaluation of English Teaching in Higher Vocational School-Enterprise Cooperation in the Era of Multimedia Informatization

[1] Su, Han, Miaomiao, & Feng. (2013). The application of energy-saving multimedia technology in college spoken english teaching. Energy education science and technology, Part A. Energy science and research, 31(1), 219-222. Search in Google Scholar

[2] Wu, J., Ding, Z., Yu, H., & Yu, S. (2020). Application of ai technology in english writing teaching on coronavirus paper in multimedia environment. Basic & clinical pharmacology & toxicology.(S1), 127. Search in Google Scholar

[3] Sin-Yi Chang. (2021). English medium instruction, english-enhanced instruction, or english without instruction: the affordances and constraints of linguistically responsive practices in the higher education classroom. TESOL Quarterly, 55(4), 1114-1135. Search in Google Scholar

[4] Samantha, C. (2023). English-medium instruction practices in higher education: international perspectivesthe englishization of higher education¥nin europe. Applied Linguistics. Search in Google Scholar

[5] Li, X. (2022). An english translation quality evaluation model integrating knowledge transfer and wireless network. Mobile Information Systems. Search in Google Scholar

[6] Ma, F. (2019). An analysis of the application of cooperative learning in english teaching in the context of online education. Basic & clinical pharmacology & toxicology.(S9), 125. Search in Google Scholar

[7] Hafner, C. A. (2015). Remix culture and english language teaching: the expression of learner voice in digital multimodal compositions. TESOL Quarterly, 49(3), 486–509. Search in Google Scholar

[8] Sciandra, Plaia, & Capursi. (2017). Classification trees for multivariate ordinal response: an application to student evaluation teaching. QUAL QUANT. Search in Google Scholar

[9] Ji, S., & Tsai, S. B. (2021). A study on the quality evaluation of english teaching based on the fuzzy comprehensive evaluation of bat algorithm and big data analysis. Mathematical Problems in Engineering, 2021. Search in Google Scholar

[10] Polat, N., & Cepik, S. (2016). An exploratory factor analysis of the sheltered instruction observation protocol as an evaluation tool to measure teaching effectiveness. TESOL Quarterly, n/a-n/a. Search in Google Scholar

[11] See, B. H., Gorard, S., & Siddiqui, N. (2017). Can explicit teaching of knowledge improve reading attainment? an evaluation of the core knowledge curriculum. British Educational Research Journal, 43(2), 372-393. Search in Google Scholar

[12] Cuiping, Z. (2016). A study on the effectiveness of autonomous-cooperative teaching and learning model based on large -class english teaching in higher vocational college. International Journal of Technology, Management. Search in Google Scholar

[13] Hughes, R., Dahlin, L., & Tucci, T. (2018). An investigation of a multiple-measures teaching evaluation system and its relationship with students’ college-going outcomes. Educational Policy, 35(1), 089590481881330. Search in Google Scholar

[14] Petraki, E. (2013). Teaching oral requests: an evaluation of five english as a second language coursebooks. Pragmatics, 23(3), 499-517. Search in Google Scholar

[15] Wang, Y., & Yuan, F. (2017). A study on the influence mechanism of pbl teaching model on non-english major students’ critical thinking ability. International Journal of Technology, Management, 000(006), P.39-41. Search in Google Scholar

[16] Sun, Z., Anbarasan, M., & Kumar, D. P. (2020). Design of online intelligent english teaching platform based on artificial intelligence techniques. Computational Intelligence. Search in Google Scholar

[17] Zeng, Y. (2021). Application of flipped classroom model driven by big data and neural network in oral english teaching. Wireless Communications and Mobile Computing. Search in Google Scholar

[18] Hou, Z. (2021). Exploration of using modern information technology to realize college english distance teaching. Scientific programming(Pt.13), 2021. Search in Google Scholar

[19] Xie, Z., & Su, Z. (2021). Evaluation of college english classroom teaching quality dependent on triangular fuzzy number. International Journal of Electrical Engineering Education, 002072092110020. Search in Google Scholar

[20] Li, W. (2022). Convolutional neural network-based mining of civic science elements and teaching practice. Mobile Information Systems. Search in Google Scholar

[21] Li, G., Liu, F., Wang, Y., Guo, Y., Xiao, L., & Zhu, L. (2021). A convolutional neural network (cnn) based approach for the recognition and evaluation of classroom teaching behavior. Scientific Programming. Search in Google Scholar

[22] Hung, N. X. (2019). Recognizing learning emotion based on convolutional neural networks and transfer learning. Applied Soft Computing, 84. Search in Google Scholar

[23] 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

[24] Hao, H. (2021). Application of random dynamic grouping simulation algorithm in pe teaching evaluation. Complexity. Search in Google Scholar

[25] 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

[26] Zhang, B. (2020). Construction of diversified academic evaluation system of history teaching theory. Advances in Higher Education, 4(10). Search in Google Scholar

[27] Yu, H. T., Jatowt, A., Blanco, R., Joho, H., & Jose, J. M. (2017). An in-depth study on diversity evaluation: the importance of intrinsic diversity. Information Processing & Management, 53( 4), 799-813. Search in Google Scholar

[28] Hu, X. (2021). Analysis and research on the integrated english teaching effectiveness of internet of things based on stochastic forest algorithm. International Journal of Continuing Engineering Education and Life-Long Learning, 31(1), 1. Search in Google Scholar

[29] Yu, J. (2021). Academic performance prediction method of online education using random forest algorithm and artificial intelligence methods. International Journal of Emerging Technologies in Learning (iJET), 16(5), 45. Search in Google Scholar

[30] Cao, H. (2020). Analysis of english teaching based on convolutional neural network and improved random forest algorithm. Journal of intelligent & fuzzy systems: Applications in Engineering and Technology, 39(2Pta1). Search in Google Scholar