Study on MOOC's English Learning Mode Based on Pattern Recognition

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Abstract

The rapid development of the Internet has accelerated the reform of educational methods, with a trend toward flexible and open lifelong education systems. However, the traditional classroom learning mode cannot meet the needs of all students. This research adopted a descriptive and analytical approach. A quantitative survey was used to collect the necessary data. 218 undergraduates from Three Gorges University participated in survey questionnaire on the MOOC learning mode. Based on the MOOC platform, the current study tries to investigate the MOOC's learning effect and the MOOC English learning mode and indicate the current users' experience of MOOC learning mode. The results of the analysis reveal that insufficient types of resource content, poor interactivity, and poor self-learning effect, as well as tension and seriousness, do exist in the current MOOC learning mode. Thus, this paper proposes strategies including a MOOC-based English learning mode based on the above issues to improve satisfaction with MOOC, enrich the learning resources of the MOOC platform based on the Internet, enhance the interaction between teachers and students, strengthen students' adaptability to the MOOC learning mode, arouse students' interest online, and introduce online breaks.

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Tan, Q., Yan, X., Qin, Z., & Fang, B. (2022). Study on MOOC’s English Learning Mode Based on Pattern Recognition. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/4814658

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