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To Design the University Online Teaching System Based on the Features of the Cultural Psychology of College Students

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Advances in Electrical Engineering and Automation

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 139))

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Abstract

Thanks to the rapid development of information technology, online teaching has been popularized in modern education. College students are the main user groups of online teaching system, and the quality of online teaching system’s design will have a direct impact on their cultural psychology. Based on the characteristics of college students’ cultural psychology, this paper will design the online teaching system, which aims at effectively improving the efficiency of online teaching, reducing the adverse influence on the students’ cultural psychology and further promoting the development of online teaching.

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References

  1. Lin, Z.C., Fang, W.Z.: Cultural psychology. Economic Science Press (2010)

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Author information

Authors and Affiliations

  1. Foreign Language College, Hebei University of Economics and Business, Shijiazhuang, China

    Gao Caiyun

  2. Information Technology College, Hebei University of Economics and Business, Shijiazhuang, China

    Qiu Zhiwei

  3. Public Administration College, Hebei University of Economics and Business, Shijiazhuang, China

    Zhao Dongmei

Authors
  1. Gao Caiyun
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  2. Qiu Zhiwei
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  3. Zhao Dongmei
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Corresponding author

Correspondence to Gao Caiyun .

Editor information

Editors and Affiliations

  1. Guangzhou Section of ISER Association, Jinheng Road, izhu District 144, Guangzhou, China, People's Republic

    Anne Xie

  2. Guangzhou Section of ISER Association, Jinheng Road, Haizhu District, Guangzhou, China, People's Republic

    Xiong Huang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Caiyun, G., Zhiwei, Q., Dongmei, Z. (2012). To Design the University Online Teaching System Based on the Features of the Cultural Psychology of College Students. In: Xie, A., Huang, X. (eds) Advances in Electrical Engineering and Automation. Advances in Intelligent and Soft Computing, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27951-5_18

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  • DOI: https://doi.org/10.1007/978-3-642-27951-5_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27950-8

  • Online ISBN: 978-3-642-27951-5

  • eBook Packages: EngineeringEngineering (R0)

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