Abstract
Cloud computer with its super large scale, versatility, high reliability and other technical characteristics and advantages, has opened up a broad prospect for the application of technology in the field of education, which is conducive to solving the contradiction between the construction of teaching resources and application services. Based on the service model of cloud computer and the analysis of the application demand of cloud computing, this paper systematically constructs the scientific research of Japanese teaching and so on, and then constructs an open and flexible platform of Japanese teaching resources based on cloud computing technology, which has important strategic significance for the optimization, integration, co-construction and sharing of Japanese teaching resources.
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References
Xiangyang, Z.: Research on Architecture and Application of Teaching Resource Platform Based on “Cloud Computing” Coal Technology (1) (2012)
Kekang, H.: The status quo and countermeasures of the construction of digital learning resources in China. Electrification Educ. Res. (10) (2009)
Xiao’e, L.: Construction and application of digital learning resources. China Adult Educ. (23) (2009)
Yingchun, J.: Thoughts on the Construction of Network Learning Platform Based on Digital Learning Resource Center. Digit. Technol. Appl. (4) (2011)
Acknowledgements
Research and Practice on University Japanese Talent Cultivation based on the Development of Core Quality. Key project of the 2018 Education and Teaching Reform of Chengdu College, SISU. Project NO. JG18003.
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Liu, C., Ge, X. (2021). Research of College Online Teaching System Based on Cloud Computing. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_60
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DOI: https://doi.org/10.1007/978-3-030-51431-0_60
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