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A Study of Oral English Teaching Mode Based on Electronic Files in a Cloud Environment

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Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1303))

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Abstract

With the development and popularization of cloud computing, the fixed cost of the online system is almost reduced to zero. In the past, because of the high cost, electronic file technology, which can not be widely used, has entered people’s vision. This paper first summarizes the main contents of cloud computing and electronic learning files, analyzes the current situation of oral English teaching, and then puts forward the oral English teaching mode based on electronic learning files in the cloud computing environment, and conducts an empirical study. The results are of great significance to promote the research of Cloud Computing Assisted English education and serve the oral English teaching. At the same time, it proves that the oral English teaching mode based on electronic learning files is of great practical significance in the information-based teaching reform of colleges and universities in China.

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References

  1. Li, J.: Collection of electronic works: new development of application of modern educational technology in school teaching reform in China. China Audiov. Educ. 3, 5–6 (2001)

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Acknowledgments

The study was supported by “Education Department of Hei Longjiang Province, China (Grant No. 1353MSYYB061; 18-XJZ20003)” & “Mu Danjiang Normal University (Grant No. 19-XJ21032)”.

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Correspondence to Dandan Wang .

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Wang, D. (2021). A Study of Oral English Teaching Mode Based on Electronic Files in a Cloud Environment. In: Atiquzzaman, M., Yen, N., Xu, Z. (eds) Big Data Analytics for Cyber-Physical System in Smart City. BDCPS 2020. Advances in Intelligent Systems and Computing, vol 1303. Springer, Singapore. https://doi.org/10.1007/978-981-33-4572-0_227

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  • DOI: https://doi.org/10.1007/978-981-33-4572-0_227

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-4573-7

  • Online ISBN: 978-981-33-4572-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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