Volume 38 Issue 1
Feb.  2022
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YE Fei, LIAO Cheng-zhu, ZHANG Jian-bo, LI Yan-yan, LI Hui-li. Experiment Teaching Based on Deep Integration of MOOC and Virtual Simulation[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2022, 38(1): 67-72. doi: 10.19979/j.cnki.issn10082689.2021090042
Citation: YE Fei, LIAO Cheng-zhu, ZHANG Jian-bo, LI Yan-yan, LI Hui-li. Experiment Teaching Based on Deep Integration of MOOC and Virtual Simulation[J]. Journal of University of Science and Technology Beijing ( Social Sciences Edition), 2022, 38(1): 67-72. doi: 10.19979/j.cnki.issn10082689.2021090042

Experiment Teaching Based on Deep Integration of MOOC and Virtual Simulation

doi: 10.19979/j.cnki.issn10082689.2021090042
  • Received Date: 2021-09-13
    Available Online: 2022-01-21
  • Publish Date: 2022-02-12
  • The ability to solve complex engineering problems has become the core of training new engineering talents. Experimental teaching is an essential part of training students’ engineering practical ability. Hence, it plays an irreplaceable role in training new engineering talents. In order to promote the integration of modern information technology and experimental teaching, it is necessary to establish a hybrid teaching model suitable for experimental teaching. Because MOOC and virtual simulation experiments in the independent application do not provide a similar experience as offline experimental teaching, they only play a supplementary role in hybrid teaching. This paper suggests deep integration of them on a unified platform to realize flexible interaction between video teaching, explanatory note, and virtual simulation experiment, leading to a new online experimental course. This online experimental course realizes the complementary advantages of MOOC and virtual simulation experiments, combines theory and experimental teaching, and can independently complete online experimental teaching. Consequently, it combines with offline experimental teaching forming a hybrid experimental teaching mode of deep interaction between online and offline teaching.

     

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