Abstract
As an important part of the teaching activities of science and engineering, combining artificial intelligence technology, face detection, biopsy detection, text and voice recognition technology are applied to the practical teaching, and presented in different ways in the pre-class supervision, in-class assessment and after-class evaluation stages, so as to make the practical teaching more automated and intelligent. APP also gets good feedback in the application stage.
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Acknowledgment
This work was supported by the research on high school provincial quality engineering project of Anhuigrant No. 2015mooc109, No. 2016ckjh224, No. 2017mooc368, No. 2017zhkt466 and No. 2017sjjd041, and University-level key projects grant No. Wzyzrzd201702.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Hu, F., Tang, H., Chen, W., Cheng, J. (2019). Application of Artificial Intelligence in Wireless Sensor Network Training Teaching. In: Sun, G., Gan, J., Liu, S., Lang, F., Lu, Z. (eds) e-Learning, e-Education, and Online Training. eLEOT 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-35095-6_25
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DOI: https://doi.org/10.1007/978-3-030-35095-6_25
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