Research on the synergistic development of artisanal skill talents cultivation and industry in the context of vocational education based on integration characteristics and cluster analysis

被引：0

作者：

Tong H. ^{[1
]}

Cai Y. ^{[1
]}

机构：

[1] School of Economics and Trade, Taizhou Vocational and Technical College, Zhejiang, Taizhou

来源：

Applied Mathematics and Nonlinear Sciences | 2024年 / 9卷 / 01期

关键词：

Data clustering analysis; Fusion characteristics; Industry synergy development; Skilled personnel; Vocational education;

D O I：

10.2478/amns.2023.2.01093

中图分类号：

学科分类号：

摘要：

This paper adopts the combination of fusion features and data clustering analysis, using fusion features and the FasterRCNN algorithm to process the data of artisanal skill cultivation and industrial synergistic development in the context of vocational education and derive relevant features. The features are fused and categorized by means of anchor frame extraction, and the processed data form a feature model. Then, the current development of vocational education in 31 provinces in China was analyzed using data clustering analysis, and Jiangsu Province, which has the best development, was selected for data collection. Six hundred and fourteen pieces of graduate information were selected for cluster analysis, and it was concluded that the cultivation of artisanal skill talents in the context of vocational education has a positive impact on the synergistic development of the industry. © 2023 Haijun Tong and Ying Cai, published by Sciendo.

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