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Construction of English Learning Community in the Smart City Environment

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

Abstract

Smart city is an emerging concept mentioned in urban construction in recent years. It creates efficient, fast, flexible and clear intelligent responses to the needs of different aspects and different levels, creating a person and society, people and people, people and things A harmonious environment. Adhering to the people-oriented concept, the English learning community places English learners at the center of English learning, and relies on the platform of lifelong education and lifelong English learning to improve the lifelong English learning ability of community members, thereby driving the continuous development of the entire community. Therefore, it is becoming more and more important to build English learning communities in smart cities. This article elaborates the basic strategies of constructing English learning communities in smart cities in China. The guiding ideology and overall goals and basic principles of the construction of smart city English learning communities are clarified, and the four aspects of constructing a modern education system, social service system, individual culture system, and characteristic resource system are used to build a smart city English learning community in China. The scientific design of the construction provides a feasible path for the research of this article from theory to practice. Finally, in the form of questionnaire surveys and interviews, the status quo of the construction of English-speaking communities in smart cities in China was investigated. Based on the information and data of the survey items, the problems in the construction of English-speaking communities in smart cities were raised. It also analyzes and summarizes key issues such as basic cognition, system architecture, and resource guarantee, providing a realistic basis for the further development of this thesis. The survey results show that about 19% of the community residents think that the construction of a learning community has little to do with themselves, and they should actively mobilize the enthusiasm and enthusiasm of community residents to participate in community activities.

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Correspondence to Liying Gao .

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Gao, L. (2021). Construction of English Learning Community in the Smart City Environment. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_82

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