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Discussion on Cultivating Model of Multimodal Innovation Capability for Students of Electric Automation Major

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Information and Management Engineering (ICCIC 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 235))

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Abstract

Aiming at cultivating electric automation professionals with innovative spirit and practical ability, this paper explores a multimodal cultivating model for innovative talents. The model mainly includes: setting up a directional teaching platform of modularization, implementing a project-driven teaching model, establishing a new experimental teaching idea, a zero adapting period and a double-certificate teaching model and the course design combining with technological competition, which will cultivate multimodal innovative talents from a plurality of angles. Teaching practice indicates that students cultivated by the cultivating model for innovative talents have stronger practical ability and employment competitiveness.

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References

  1. Tong, W., Duan, Z.T.E., Ji, K.C.: Automation Professional Practice Teaching and Creative Talent. In: Proceedings of the 2007 Annual Conference of Chinese Automation, pp. 203–205 (2007)

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Author information

Authors and Affiliations

  1. Institute of Information Science and Engineering, Ningbo University, Ningbo, China, 315211

    Shi Xuhua

Authors
  1. Shi Xuhua
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Editor information

Editors and Affiliations

  1. Nanchang University, 235 Nanjing Donglu, Nanchang, 330047, China

    Min Zhu

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© 2011 Springer-Verlag Berlin Heidelberg

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Xuhua, S. (2011). Discussion on Cultivating Model of Multimodal Innovation Capability for Students of Electric Automation Major. In: Zhu, M. (eds) Information and Management Engineering. ICCIC 2011. Communications in Computer and Information Science, vol 235. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24022-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-24022-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24021-8

  • Online ISBN: 978-3-642-24022-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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