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Design of Virtual Experiment Online Teaching System for Economics and Management in Colleges and Universities Based on Virtualization Technology

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

Abstract

The traditional experimental teaching method is single, and students lack learning initiative and creativity, which leads to the problem of insufficient teaching quality. Therefore, this paper proposes a virtual experiment online teaching system of university economics and management based on virtualization technology. Firstly, optimize the system hardware structure and improve the allowable effect of system equipment configuration. Then, the three-tier structure of customer layer, application service layer and data layer is used to optimize the system software functions, and simplify the working principle and multi-layer architecture of the online virtual experiment system based on B/S mode, so as to achieve the online teaching goal of economic and management virtual experiment in colleges and universities. The experimental results show that the system has high practicability, can effectively improve the teaching quality, and fully meet the expected requirements of the research.

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References

  1. Ying, Z., Wenhui, H., Qiannan, W.: Design of virtual reliability experiment teaching system. Res. Explor. Lab. 41(07), 138–141 (2022)

    Google Scholar 

  2. Hongxv, P.: Research on the application of server virtualization technology in the economic management experimental center of private universities. Comput. Knowl. Technol. 18(15), 112–113+122 (2022)

    Google Scholar 

  3. Yanhu, B., Jianli, L., Yuanxiang, L., et al.: Knowledge mapping analysis of economics and management specialty experiments in colleges and universities. Res. Explor. Lab. 40(08), 263–269 (2021)

    Google Scholar 

  4. Lingxin, K., Yajun, M.: Big data adaptive migration and fusion simulation based on fuzzy matrix. Comput. Simul. 37(3), 389–392 (2020)

    Google Scholar 

  5. Scherer, R., Howard, S.K., Tondeur, J., et al.: Profiling teachers’ readiness for online teaching and learning in higher education: who’s ready? Comput. Hum. Behav. 118(3), 106–115 (2020)

    Google Scholar 

  6. Costa, L., Nascimento, T.P., Goncalves, L.: Online learning and teaching of emergent behaviors in multi-robot teams. IEEE Access 18(7), 53–61 (2019)

    Google Scholar 

  7. Cobos, R., Jurado, F., Blazquez-Herranz, A.: A content analysis system that supports sentiment analysis for subjectivity and polarity detection in online courses. Revista Iberoamericana de Tecnologias del Aprendizaje 56(22), 1–17 (2019)

    Google Scholar 

  8. Danaher, M., Schoepp, K., Kranov, A.A.: Teaching and measuring the professional skills of information technology students using a learning oriented assessment task. Int. J. Eng. Educ. 35(3), 795–805 (2019)

    Google Scholar 

  9. Jing, L.A., Cq, B., Yz, A.: Online teaching in universities during the Covid-19 epidemic: a study of the situation, effectiveness and countermeasures. Procedia Comput. Sci. 187(12), 566–573 (2021)

    Google Scholar 

  10. Eberle, J., Hobrecht, J.: The lonely struggle with autonomy: a case study of first-year university students’ experiences during emergency online teaching. Comput. Hum. Behav. 121(3), 106–114 (2021)

    Google Scholar 

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Funding

Youth Fund Project of National Natural Science Foundation of China: Research on Key Techniques of Microscope Image Depth of Field Expansion (62002268).

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Correspondence to Yingji Luo .

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

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Zhang, J., Luo, Y., Yang, Q. (2022). Design of Virtual Experiment Online Teaching System for Economics and Management in Colleges and Universities Based on Virtualization Technology. 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_22

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  • DOI: https://doi.org/10.1007/978-3-031-21161-4_22

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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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