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The Application of Hybrid Teaching Model in Electrotechnics Course

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e-Learning, e-Education, and Online Training (eLEOT 2018)

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Abstract

In view of the existing problems in the teaching of electrotechnics, from the perspective of cultivating innovative talents, this paper proposes a hybrid teaching model based on internet, introducing blended learning method into theory teaching and practice teaching so as to make the teaching process “offline” Teaching) and “on-line” (online teaching). The students on the line can learn independently and the teachers and students in the line deepen their interaction so that they can complement each other’s strengths so as to cultivate students’ interest in learning and autonomous learning and improve the teaching effect of electrotechnics.

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Authors and Affiliations

  1. College of Mechanical Engineering, Inner Mongolia University for the Nationalities, Tongliao, Inner Mongolia, 028000, China

    Xueyan Chen

  2. Department of Mechanical and Electrical Engineering, Hetao University, Bayannur, Inner Mongolia, 015000, China

    Xiaoju Zhang

Authors
  1. Xueyan Chen
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  2. Xiaoju Zhang
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Corresponding author

Correspondence to Xueyan Chen .

Editor information

Editors and Affiliations

  1. Inner Mongolia University, Hohhot, China

    Shuai Liu

  2. Quinn School of Business, University College Dublin, Dublin, Ireland

    Matt Glowatz

  3. University of Salento, Poggiardo, Lecce, Italy

    Marco Zappatore

  4. Shanghai University, Shanghai, China

    Honghao Gao

  5. Inner Mongolia Agricultural University, Hohhot, China

    Bing Jia

  6. IBAM - Istituto per i Beni, Italian National Research Council, Rome, Italy

    Alberto Bucciero

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Chen, X., Zhang, X. (2018). The Application of Hybrid Teaching Model in Electrotechnics Course. In: Liu, S., Glowatz, M., Zappatore, M., Gao, H., Jia, B., Bucciero, A. (eds) e-Learning, e-Education, and Online Training. eLEOT 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 243. Springer, Cham. https://doi.org/10.1007/978-3-319-93719-9_22

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  • DOI: https://doi.org/10.1007/978-3-319-93719-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93718-2

  • Online ISBN: 978-3-319-93719-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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