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Research on the Enhancement Strategy of Teaching Effect in Entrepreneurship and Innovation Course Based on SPOC

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

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Abstract

As entrepreneurship education is of great significance nowadays, it is particularly necessary to strengthen researches on its models and combine macro requirements with students’ practical condition. SPOC, as a mixed teaching combining online and offline teaching, has injected fresh blood into college education and teaching. Supported by the data extracted from Chaoxing learning platform, this paper analyzes problems existed in the SPOC-based teaching of entrepreneurship and innovation. Moreover, by conducting active explorations on the enhancement of learning effects, this paper also puts forward specific and effective measures in order to improve teaching quality in an all-round way and provide new ideas and methods for education reform and innovation.

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Author information

Authors and Affiliations

  1. Capital University of Economics and Business, Beijing, 100070, China

    Haipeng Wang & Yiran Liu

Authors
  1. Haipeng Wang
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  2. Yiran Liu
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Corresponding author

Correspondence to Haipeng Wang .

Editor information

Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

  2. Department Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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Wang, H., Liu, Y. (2021). Research on the Enhancement Strategy of Teaching Effect in Entrepreneurship and Innovation Course Based on SPOC. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_40

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