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Research on the Growth of Engineering Science and Technology Talents from the Perspective of Complex Science

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Geo-Spatial Knowledge and Intelligence (GSKI 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 849))

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Abstract

With the rapid development of information technology and the strategy of “Made in China 2025”, the state has met new requirement for talents training. Under the background of “made in China 2025”, based on complex science theory, this paper established the model of “Gong” model of engineering talents. The growth of engineering talents can be divided into three stages, that is, the basic and higher education stage, the social stage and the continuing education stage. Based on the phased characteristics of talent growth, this paper studied the law of the growth of engineering talents and the path of the road and summed up the law of phased growth of engineering talent in “Gong” type, and proposed deepening the reform of continuing education to improve the training mechanism for engineering talents.

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Acknowledgment

This research was supported by MOE (Ministry of Education in China) Project of Humanities and Social Sciences (Project No. 14JDGC016) and the NSFC General Program (Grants nos. 71272045).

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Authors and Affiliations

  1. School of Economics and Management, Tongji University, No1. Rd Zhangwu, Shanghai, China

    Haifeng Zhao & Weijia Jiang

Authors
  1. Haifeng Zhao
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  2. Weijia Jiang
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Corresponding authors

Correspondence to Haifeng Zhao or Weijia Jiang .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Beijing Institute of Technology, Beijing, China

    Chuanlu Liu

  4. Wuhan University, Wuhan, China

    Fuling Bian

  5. Beijing Institute of Technology, Beijing, China

    Tisinee Surapunt

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Zhao, H., Jiang, W. (2018). Research on the Growth of Engineering Science and Technology Talents from the Perspective of Complex Science. In: Yuan, H., Geng, J., Liu, C., Bian, F., Surapunt, T. (eds) Geo-Spatial Knowledge and Intelligence. GSKI 2017. Communications in Computer and Information Science, vol 849. Springer, Singapore. https://doi.org/10.1007/978-981-13-0896-3_72

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  • DOI: https://doi.org/10.1007/978-981-13-0896-3_72

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-0895-6

  • Online ISBN: 978-981-13-0896-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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