Exploring the Online Platform Construction of English Movie Audiovisual Speaking Blended Teaching Mode Based on POA Theory of Production-Oriented Approach
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Zhao, H. (2017). Study on the effectiveness of the asr-based english teaching software in helping college students’ listening learning. International Journal of Emerging Technologies in Learning (iJET), 12(8), 146.Search in Google Scholar
Zhou, S., & Zhang, T. (2017). Research on the construction of flipped classroom model for english teaching based on spoc. Revista de la Facultad de Ingenieria, 32(14), 267-273.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
Matt, K., & Francesca, M. (2022). Digital multimodal composing in english language teaching. ELT Journal (3), 3.Search in Google Scholar
Jan-Erik, L. (2020). Using film and media in the language classroom: reflections on research-led teaching. ELT Journal (2), 2.Search in Google Scholar
Bartolo, L. (2017). Uncovering the paradigm: combining the old and the new in a 21st-century pedagogy for teaching film in english. English in Australia, 52(3), 43-50.Search in Google Scholar
Ni, D. (2017). Design and research on english listening teaching assisted by computer multimedia. International Journal of Emerging Technologies in Learning, 12(01).Search in Google Scholar
Yao, S. (2017). Application of computer-aided translation in english teaching. International Journal of Emerging Technologies in Learning, 12(8), 105-117.Search in Google Scholar
Xiao, X. F., & Huang, Y. L. (2022). Design of the mixed oral english teaching method based on the hierarchical aggregation algorithm. Mobile Information Systems.Search in Google Scholar
Yanfei, M. (2021). Online and offline mixed intelligent teaching assistant mode of english based on mobile information system. Mobile information systems.Search in Google Scholar
Chang, H. (2021). College english flipped classroom teaching model based on big data and deep neural networks. Scientific Programming.Search in Google Scholar
Liang, X., & Pang, J. (2019). An innovative english teaching mode based on massive open online course and google collaboration platform. International Journal of Emerging Technologies in Learning (iJET), 14(15), 182.Search in Google Scholar
Zhao, Y. (2020). A personalized english teaching design based on multimedia computer technology. International Journal of Emerging Technologies in Learning (iJET), 15(8), 210.Search in Google Scholar
Zhu, M. (2021). Flipped classroom mode of college english listening and speaking teaching based on poa theory. International Journal of Frontiers in Engineering Technology.Search in Google Scholar
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
Zhang, B. (2017). Research on framework design of english mobile teaching system in higher vocational colleges based on android platform. Boletin Tecnico/Technical Bulletin, 55(15), 174-181.Search in Google Scholar
Liu, S. (2021). Development of english teaching theory and practice research from the cross-cultural perspective. International Journal of Electrical Engineering Education, 002072092110077.Search in Google Scholar
Du, Y. (2021). Improvement of english teaching model based on computer network. Journal of Sensors.Search in Google Scholar
Yi, X., Li, H., Zhang, R., He, X., Zhang, X., & Sun, Y. (2022). Rock mass structure surface extraction method using multiview images based on integration of multimodal semantic features and a full convolution neural network model. Journal of Applied Remote Sensing (1), 16.Search in Google Scholar
Wang, L., He, Y., Li, L., Liu, X., & Zhao, Y. (2022). A novel approach to ultra-short-term multi-step wind power predictions based on encoder-decoder architecture in natural language processing. Journal of cleaner production (Jun.20), 354.Search in Google Scholar