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Application of Virtual Instrument Technology in Electronic Course Teaching

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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 1283))

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Abstract

With the continuous progress of modern information technology and continuous reform of teaching methods, practice has become an important part of students’ in-depth understanding of theoretical knowledge. Experience has become an indispensable part of teaching and the most effective way to improve students’ creativity and practical ability. In order to improve experimental conditions and reform experimental teaching methods, this article is studying the application of virtual instrument technology in electronic course teaching. Increase students’ interest in experiments and improve teaching quality.

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Acknowledgements

Fund Project: Project supported by the “Thirteenth Five-Year Plan” of Educational Science in Liaoning Province: Research on Practical Skills Cultivation and Innovation of Applied Undergraduate Automation Specialty (Subject No. JG18EB033)

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Authors and Affiliations

  1. Dalian Ocean University, Dalian, Liaoning, China

    Hui Cheng

Authors
  1. Hui Cheng
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Correspondence to Hui Cheng .

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Editors and Affiliations

  1. David Goldman Informatics Centre, University of Sunderland, Sunderland, UK

    John MacIntyre

  2. University of Shanghai for Science and Technology, Shanghai, China

    Jinghua Zhao

  3. Shenzhen University, Shenzen, Guangdong, China

    Xiaomeng Ma

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Cheng, H. (2021). Application of Virtual Instrument Technology in Electronic Course Teaching. 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 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_38

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