Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26–28, 2023, Nanjing, China

Research Article

Research on Construction Path of Intelligent Training Base in Higher Vocational Colleges

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  • @INPROCEEDINGS{10.4108/eai.26-5-2023.2337315,
        author={Fangrong  Wu and Biao  Chen and Yanjin  Shen and Wang  Shu and Qian  Liu and Jin  Liu},
        title={Research on Construction Path of Intelligent Training Base in Higher Vocational Colleges},
        proceedings={Proceedings of the 4th International Conference on Education, Knowledge and Information Management, ICEKIM 2023, May 26--28, 2023, Nanjing, China},
        publisher={EAI},
        proceedings_a={ICEKIM},
        year={2023},
        month={9},
        keywords={artificial intelligence; virtual simulation; cloud platform; training base},
        doi={10.4108/eai.26-5-2023.2337315}
    }
    
  • Fangrong Wu
    Biao Chen
    Yanjin Shen
    Wang Shu
    Qian Liu
    Jin Liu
    Year: 2023
    Research on Construction Path of Intelligent Training Base in Higher Vocational Colleges
    ICEKIM
    EAI
    DOI: 10.4108/eai.26-5-2023.2337315
Fangrong Wu1, Biao Chen1,*, Yanjin Shen1, Wang Shu1, Qian Liu1, Jin Liu1
  • 1: Hunan Automotive Engineering Vocational College
*Contact email: 138198717@qq.com

Abstract

With the development of artificial intelligence technology, the construction of digital and intelligent training bases has become a common requirement for the professional development of vocational colleges. This article is based on artificial intelligence technologies such as virtual simulation, daiase, and cloud platform to create an intelligent networked vehicle training base. The training teaching simulation system, training teaching management platform, and training teaching evaluation system are respectively constructed, providing reference for the construction of training bases in vocational colleges. Practice has proven that digital and intelligent training bases can effectively solve the problems exposed in the construction and operation of traditional training bases, such as lagging practical teaching resources, single practical management mode, and low practical evaluation level.