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Study on the Growth Pattern of Middle-Level Vocational Skills

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Artificial Intelligence in Education Technologies: New Development and Innovative Practices (AIET 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 154))

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Abstract

Skilled professional personnel are the human resources that enterprises rely on for survival, and their professional competence level affects the long-term development of enterprises. The paper takes 86 vocational skilled talents as the sample, collects the data on the growth of professional ability such as education level, learning, and training, service experience, mentoring, organization and management, extracts the parameter indexes that can objectively reflect their professional ability quality, integrates the characteristics of various methods such as behavioral event interview method, questionnaire survey method, expert group discussion method and focus interview method for comprehensive analysis. Through combing and analyzing, the professional competency quality model of vocationally skilled personnel is constructed and its effectiveness for talent screening and assessment is verified. The model and its creation method can provide a useful reference for enterprises or related personnel.

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Author information

Authors and Affiliations

  1. Aviation Maintenance NCO Academy, Air Force Engineering University, Xinyang, 464000, Henan, China

    Xinqiang Meng, Le Qi & Mengyang Liu

Authors
  1. Xinqiang Meng
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  2. Le Qi
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  3. Mengyang Liu
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Editor information

Editors and Affiliations

  1. Department of Curriculum and Instruction, The Education University of Hong Kong, Tai Po, Hong Kong

    Eric C. K. Cheng

  2. Swinburne University of Technology, Melbourne, VIC, Australia

    Tianchong Wang

  3. IU International University of Applied Sciences, Erfurt, Germany

    Tim Schlippe

  4. Department of Food Science & Technology, University of Patras, Agrinio, Greece

    Grigorios N. Beligiannis

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Meng, X., Qi, L., Liu, M. (2023). Study on the Growth Pattern of Middle-Level Vocational Skills. In: Cheng, E.C.K., Wang, T., Schlippe, T., Beligiannis, G.N. (eds) Artificial Intelligence in Education Technologies: New Development and Innovative Practices. AIET 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 154. Springer, Singapore. https://doi.org/10.1007/978-981-19-8040-4_16

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  • DOI: https://doi.org/10.1007/978-981-19-8040-4_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-8039-8

  • Online ISBN: 978-981-19-8040-4

  • eBook Packages: EngineeringEngineering (R0)

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