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Practice of Flexible Talents Training Mode “2+0.5+0.5” for Surveying and Mapping Major for Higher Vocational Education

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Advances in Computer Science and Engineering

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 141))

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Abstract

The characteristics of surveying and mapping industry determines that the cultivation of occupational ability and training of professional accomplishment shall be of equal importance for students in surveying and mapping major of higher vocational education. Based on college-enterprise cooperation, the flexible talents training mode “2+0.5+0.5” was established to realize the self-construction of occupational ability and development of professional accomplishment of students and explore a talents training mode that combines professional education and social practice through “Working-Schooling Alternation” with two-phase studies and practices at school or in enterprises respectively, especially “Work-study Combination” during the two-phase practices in enterprises.

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References

  1. Ding, L.: ‘Research on Talents Training by Mode of Work-study Combination in Surveying and Mapping Major of Higher Vocational Education. Education and Vocation, 95–97 (June 2010)

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  2. Zhu, J., Fan, G.: Practice and Exploration on the Talents Training Mode of “Major + Enterprise, Employment + Entrepreneurship. Chinese Vocational and Technical Education, 84–85 (August 2010)

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  3. Zhang, H.: The Research of School-Enterprise Cooperation Institutionalization for Higher Vocational Education. Education and Vocation, 11–13 (June 2010)

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  4. Zhang, D., Ming, Li, M.: Study and Practice of Talent Foster Mode on Cooperation of Learning with Working in Surveying and Mapping Specialty for High Vocational Education. Surveying and Mapping of Geology and Mineral Resources, 44–46 (June 2010)

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Correspondence to Xiaoning Liu .

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Liu, X. (2012). Practice of Flexible Talents Training Mode “2+0.5+0.5” for Surveying and Mapping Major for Higher Vocational Education. In: Zeng, D. (eds) Advances in Computer Science and Engineering. Advances in Intelligent and Soft Computing, vol 141. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27948-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-27948-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27947-8

  • Online ISBN: 978-3-642-27948-5

  • eBook Packages: EngineeringEngineering (R0)

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