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Training Practice of High-Level Specialty Group Intelligent Construction Talents Based on the Integration of Post, Course, Competition and Certificate

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Computer Science and Education. Educational Digitalization (ICCSE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2025))

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Abstract

According to characteristics of the specialty group of architectural decoration engineering technology, the talent training mode called “integration of courses, certificates, abilities and standards” for intelligent construction based on (Building Information Model) BIM was proposed in this paper. Referring to professional qualification standards and requirements for professional positions, the curriculum system and teaching content were reformed, the curriculum standards highlighting the cultivation of professional ability were established, the basic requirements of curriculum teaching were standardized, the integration of “Post, Course, Competition and Certificate” was accomplished by building a curriculum practice system in and out of school conducive to the development of students’ personality, and comprehensively implement the talent training target.

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Acknowledgment

This work has been supported by Guangdong Province Education Science Planning Project (Higher Education) “Research on the cultivation of high-level specialty group intelligent construction talents under the Integration of Post, Course, Competition and Certificate” (2023GXJK745).

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Correspondence to Chengjiang Lu .

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Lu, C., Zhang, X., Li, Z. (2024). Training Practice of High-Level Specialty Group Intelligent Construction Talents Based on the Integration of Post, Course, Competition and Certificate. In: Hong, W., Kanaparan, G. (eds) Computer Science and Education. Educational Digitalization. ICCSE 2023. Communications in Computer and Information Science, vol 2025. Springer, Singapore. https://doi.org/10.1007/978-981-97-0737-9_15

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  • DOI: https://doi.org/10.1007/978-981-97-0737-9_15

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0736-2

  • Online ISBN: 978-981-97-0737-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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