Text Mining of China's New Vocational Education Law to Enhance Power Grid Technical Skills Training

Guanghong Li; Jing Wang; Chen Liang

Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13–15, 2023, Xi’an, China

Research Article

Text Mining of China's New Vocational Education Law to Enhance Power Grid Technical Skills Training

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Cite: BibTeX Plain Text

@INPROCEEDINGS{10.4108/eai.13-10-2023.2341290,
    author={Guanghong  Li and Jing  Wang and Chen  Liang},
    title={Text Mining of China's New Vocational Education Law to Enhance Power Grid Technical Skills Training},
    proceedings={Proceedings of the 3rd International Conference on New Media Development and Modernized Education, NMDME 2023, October 13--15, 2023, Xi’an, China},
    publisher={EAI},
    proceedings_a={NMDME},
    year={2024},
    month={1},
    keywords={text mining; feature word selection; lda model; industry-education integration; educational quality improvementt; teaching enhancement},
    doi={10.4108/eai.13-10-2023.2341290}
}

Guanghong Li
Jing Wang
Chen Liang
Year: 2024
Text Mining of China's New Vocational Education Law to Enhance Power Grid Technical Skills Training
NMDME
EAI
DOI: 10.4108/eai.13-10-2023.2341290

Guanghong Li¹^,*, Jing Wang¹, Chen Liang²

1: Electric Grid Operations Training Department of State Grid Technology College
2: Substation Operation and Maintenance Center of Taian Electric Supply Company

*Contact email: liguanghong@outlook.com

Abstract

In response to China's 2022 Vocational Education Law revision, this study employed text mining for thematic analysis better grasp the new principles and fresh perspectives. Preprocessing involved Python libraries for data cleaning and feature extraction. The LDA model revealed three key topics: industry-education integration, educational quality improvement, and teaching enhancement. Corresponding measures include the establishment of a dual training system, skills competition framework, and a layered teacher competency model. These initiatives align vocational education with industry needs and enhance workforce skills, ensuring a smoother transition into the modern era

Keywords: text mining; feature word selection; lda model; industry-education integration; educational quality improvementt; teaching enhancement

Published: 2024-01-22
Publisher: EAI

: http://dx.doi.org/10.4108/eai.13-10-2023.2341290