Abstract
With the development of computer simulation technology and virtual reality technology, virtual experiment, as a new experimental method, has incomparable advantages compared with traditional experimental methods because it is not limited by time and space. It is the trend of modern teaching to apply remote virtual instrument technology in Electrotechnics Teaching. Based on the theory of network environment teaching design, combined with remote virtual instrument technology, this paper realizes the reform, optimization and resource sharing of electronic technology course teaching from multiple angles, which reduces the maintenance of instruments and saves equipment expenses. With the help of virtual technology and network technology, this mode creates a new situation of network course teaching.
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References
Liu, Y., Lin, L.: Exploration and practice of EDA Course Teaching. J. Electr. Electron. Teach. 32(4), 4–36 (2010)
Li, S.: Research on divergent thinking in the teaching of analog electronic technology. J. Shenyang Normal Univ. Nat. Sci. Ed. 29(2), 330–334 (2011)
Cheng, L., Zhang, Z., Wei, C., et al.: Application of virtual experiment in hierarchical Experimental Teaching. J. Shenyang Normal Univ. Nat. Sci. Ed. 29(2), 326–329 (2011)
Gong, J., Chen, J., Liu, B., et al.: Reform and exploration of electronic technology experiment teaching method. J. Electr. Electron. Teach. 30(4), 77–78 (2008)
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Xie, L., Luo, Y. (2021). Program Design of Electrical Network Course for Remote Virtual Instrument. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_102
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DOI: https://doi.org/10.1007/978-3-030-69999-4_102
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