An Analysis of the Current Status, Research Hotspots, and Trends in China's Vocational Education Against the Background of Artificial Intelligence

DOI

10.2991/978-94-6239-630-2_40How to use a DOI?

Keywords

Artificial Intelligence; Vocational Education; Research Hotspots; Literature Review; CiteSpace

Abstract

As the core driving force spearheading the new wave of technological transformation, artificial intelligence is profoundly reshaping the ecosystem and development trajectory of vocational education. To systematically grasp the research landscape in China's intersection of AI and vocational education, this study conducted a quantitative analysis of 474 relevant papers using the CNKI database and CiteSpace visualization tools. Findings reveal that research in this field has progressed through three distinct phases: an embryonic stage (2007–2016), a developmental stage (2017–2022), and an explosive growth stage (2023–present), with publication volume exhibiting an accelerating growth trend. Research power centers around vocational institutions like Tianjin University of Technology and Education and Changzhou Vocational College of Information Technology, alongside key undergraduate universities such as Tianjin University and Beijing Normal University. Research content focuses on the intelligent reform of vocational education teaching elements, the transformation of intelligent education ecosystems and systems, and the reconstruction of vocational competencies. This can be categorized into ten sub-research directions, gradually evolving into research hotspots such as talent cultivation, industry-education integration, smart education, and digital literacy. Research frontiers are shifting from macro-level big data and development pathways to micro-level professional development and curriculum systems, with emerging focuses on human-machine collaboration, smart dual-teacher models, curriculum-based ideological education, visualization, and digitization. Future efforts should strengthen academic community building and deepen the return to the essence of education, aiming to provide theoretical support and practical guidance for constructing a new ecosystem of vocational education in the intelligent era.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jiahao Liu
AU  - Shuguang He
AU  - Zhiliang Gao
AU  - Jiadi Wu
AU  - Weipeng Zhu
PY  - 2026
DA  - 2026/04/23
TI  - An Analysis of the Current Status, Research Hotspots, and Trends in China's Vocational Education Against the Background of Artificial Intelligence
BT  - Proceedings of the 2025 International Conference on Educational Technology and Management Information Systems (ETMIS 2025)
PB  - Atlantis Press
SP  - 398
EP  - 416
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-630-2_40
DO  - 10.2991/978-94-6239-630-2_40
ID  - Liu2026
ER  -