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Mechanical Experimental Platform Construction Based on BOPPPS Model

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Advances in Computer Science for Engineering and Education II (ICCSEEA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 938))

Abstract

With the continuous expansion of the demand for applied engineering talents in the society, in order to help students to develop comprehensive practical ability and innovation awareness, it is necessary to carry out high-quality experimental teaching work. Considering the status quo of mechanical experimental teaching and the requirements of talent development, mechanical experimental teaching reform based on BOPPPS model has been put forward in this paper, and a mechanical experimental teaching management platform has been built to improve the overall level of mechanical laboratory teaching.

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Author information

Authors and Affiliations

  1. Wuhan University of Technology, Wuhan, 430063, People’s Republic of China

    Mengya Zhang, Qingying Zhang & ChenSheng Huang

  2. Wuhan Institute of Physical Education, Wuhan, 430079, People’s Republic of China

    Ziye Wang

Authors
  1. Mengya Zhang
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  2. Qingying Zhang
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  3. Ziye Wang
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  4. ChenSheng Huang
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Corresponding author

Correspondence to Mengya Zhang .

Editor information

Editors and Affiliations

  1. School of Educational Information Technology, Central China Normal University, Wuhan, Hubei, China

    Zhengbing Hu

  2. Mechanical Engineering Research Institute of the Russian Academy of Sciences, Moscow, Russia

    Sergey Petoukhov

  3. “Igor Sikorsky Kiev Polytechnic Institute”, National Technical University of Ukraine, Kiev, Ukraine

    Ivan Dychka

  4. Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Ft. Lauderdale, FL, USA

    Matthew He

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Zhang, M., Zhang, Q., Wang, Z., Huang, C. (2020). Mechanical Experimental Platform Construction Based on BOPPPS Model. In: Hu, Z., Petoukhov, S., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education II. ICCSEEA 2019. Advances in Intelligent Systems and Computing, vol 938. Springer, Cham. https://doi.org/10.1007/978-3-030-16621-2_18

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