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MOOC-Based Mixed Teaching Research on Microcomputer Principle Courses in Colleges and Universities

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e-Learning, e-Education, and Online Training (eLEOT 2019)

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Abstract

With the rise of MOOC teaching mode, the hybrid teaching mode which combines online teaching and traditional teaching has drawn extensive attention. Based on the analysis of MOOC teaching mode, this paper synthetically compares the advantages and disadvantages of MOOC teaching mode with traditional teaching mode. Taking the microcomputer principle course set up by our electronic information engineering specialty as an example, this paper constructs a teaching platform based on MOOC and solves the problems of traditional teaching Middle school students lack of learning initiative, learning resources can not be fully utilized and other issues, have some referencet to reform of mixed teaching in colleges and universities.

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Author information

Authors and Affiliations

  1. School of Physics and Electronic Information, Inner Mongolia University for Nationalities, Tongliao, China

    Wei Yan

Authors
  1. Wei Yan
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Correspondence to Wei Yan .

Editor information

Editors and Affiliations

  1. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  2. Yunnan Normal University, Kunming, China

    Jianhou Gan

  3. Hunan Normal University, Hunan, China

    Shuai Liu

  4. Harbin University, Harbin, China

    Fei Lang

  5. Institute of Data Science, National Academy of Guo Ding, Harbin, China

    Zeguang Lu

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This work was supported by Inner Mongolia University for Nationalities scientific research project grant No. NMDYB19066.

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Yan, W. (2019). MOOC-Based Mixed Teaching Research on Microcomputer Principle Courses in Colleges and Universities. 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_13

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  • DOI: https://doi.org/10.1007/978-3-030-35095-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-35094-9

  • Online ISBN: 978-3-030-35095-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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