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Construction of Online Education Model of Marketing Specialty Based on Cloud Computing

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e-Learning, e-Education, and Online Training (eLEOT 2022)

Abstract

In the process of constructing the online education model for marketing major, the actual application requirements are not considered, and the problems of low functional success rate and poor operation performance exist. In order to provide auxiliary work for the teaching work of marketing major, the cloud computing technology is used to realize the optimization design of the online education model for marketing major. Install cloud servers, modify cloud storage, communication networks and other hardware devices as the operation support of the model. Determine the online education mode and teaching content of marketing specialty. Use the web crawler algorithm to collect the online education resources of marketing specialty, and complete the sharing of online education resources according to the principle of cloud computing technology. Finally, through the design of online education activities and interactive functions, the construction of online education model is realized. Through the model test experiment, it is concluded that the functional success rate of the design model reaches 98.6%, and the response time and memory occupation meet the test requirements.

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Funding

Exploration and practice of online and offline hybrid teaching of management courses under the Internet and background (YGL201842).

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Correspondence to Lingli Mao .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Mao, L., Xu, Z. (2022). Construction of Online Education Model of Marketing Specialty Based on Cloud Computing. In: Fu, W., Sun, G. (eds) e-Learning, e-Education, and Online Training. eLEOT 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-031-21161-4_16

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  • DOI: https://doi.org/10.1007/978-3-031-21161-4_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-21160-7

  • Online ISBN: 978-3-031-21161-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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