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Analysis and Research on Modern Education Technology Under “Internet+” and Big Data Technology 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 1282))

Abstract

The research purpose of this article is based on the discussion and research of modern educational technology under the background of “Internet+” and big data environment. The research method used in this article is to first adopt the establishment of a mathematical model of precision education based on the era of big data to formulate accurate modern education programs and multi-stage dynamic precision education programs. Secondly, under the blessing of the “Internet+” era, after the background and data collection, the data is processed and the indicators are extracted, and a mathematical model for precision education is finally formulated. Finally, a questionnaire survey was used to conduct a sample survey on the H school, and the effective data obtained in the final survey was counted and combined with the previous two methods to analyze the analysis of “Internet+” and big data technology on modern educational technology. Experimental research results show that the emergence of Internet+ and big data greatly facilitates the development of educational work. Then on this basis, it is necessary for all parties to explore suitable modern education methods according to the characteristics of cloud Internet+ and big data, in order to improve teaching ability and cultivate excellent young talents.

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Correspondence to Xiaofang Qiu .

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Qiu, X. (2021). Analysis and Research on Modern Education Technology Under “Internet+” and Big Data Technology 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 1282. Springer, Cham. https://doi.org/10.1007/978-3-030-62743-0_53

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