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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References
Zurawski, S.A., Pickett, K.A., Widmer, M.: Expanding OT's role in the mental health treatment of Parkinson's disease through high-quality online education. Am. J. Occupat. Therapy 75(2), 275–282 (2021)
Harrison, D.E., Ajjan, H.: Customer relationship management technology: bridging the gap between marketing education and practice. J. Market. Anal. 7(4), 205–219 (2019)
Weber, M.M., Larkin, D.J., Patrick, M.: Creating informed consumers of aquatic invasive species management programs through online education for nonprofessionals. Invasive Plant Sci. Manage. 15(1), 41–48 (2022)
Ag, A., Ma, B., Mpm, C., et al.: Four questions of entrepreneurial marketing education: perspectives of university educators - ScienceDirect. J. Bus. Res. 113, 189–197 (2020)
Jing, D.A.: Cloud computing database and remote system for real-time image acquisition application in english classroom teaching - ScienceDirect. Microprocess. Microsyst. 82(6), 1–10 (2021)
Wu, Z.Y.: A secure and efficient digital-data-sharing system for cloud environments. Sensors 19(12), 2817 (2019)
Wang, S., Mu, M.: Exploring online intelligent teaching method with machine learning and SVM algorithm. Neural Comput. Appl. 6, 1–14 (2021)
Dolighan, T., Owen, M.: Teacher efficacy for online teaching during the COVID-19 pandemic. Brock Educ. J. 30(1), 95–116 (2021)
Xu, N., Fan ,W.-H.: Research on interactive augmented reality teaching system for numerical optimization teaching. Comput. Simul. 37(11), 203–206, 298 (2020)
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Exploration and practice of online and offline hybrid teaching of management courses under the Internet and background (YGL201842).
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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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