Artificial Intelligence in Vocational Education Teacher Team Development: Opportunities, Challenges, and Strategic Pathways
DOI: 10.23977/avte.2025.070121 | Downloads: 20 | Views: 558
Author(s)
Yao Xiaochao 1
Affiliation(s)
1 Hainan Vocational University of Science and Technology, Haikou, Hainan, 571100, China
Corresponding Author
Yao XiaochaoABSTRACT
The rapid development of artificial intelligence (AI) technology has brought new opportunities and challenges to the construction of vocational education teacher teams. Taking vocational education in Hainan Province as the research subject, this paper explores the practical significance, challenges, and feasible pathways for AI to empower the construction of vocational education teacher teams. Based on the current status of vocational education in Hainan, measures such as building intelligent teacher training platforms, developing intelligent teaching resources, and optimizing teacher evaluation systems are proposed to promote high-quality development of vocational education teacher teams, thereby providing talent support for the construction of the Free Trade Port. The study integrates global best practices, empirical data, and policy frameworks to construct a comprehensive strategy for AI-driven educational reform.
KEYWORDS
Artificial Intelligence; Vocational Education; Teacher Team Construction; Hainan ProvinceCITE THIS PAPER
Yao Xiaochao, Artificial Intelligence in Vocational Education Teacher Team Development: Opportunities, Challenges, and Strategic Pathways. Advances in Vocational and Technical Education (2025) Vol. 7: 164-170. DOI: http://dx.doi.org/10.23977/avte.2025.070121.
REFERENCES
[1] OECD. (2023). Digital Education Outlook 2023 [R]. Paris: OECD Publishing.
[2] State Council of China. (2021). 14th Five-Year Plan for Educational Modernization [Z]. Beijing: State Council.
[3] Hainan Provincial Department of Education. (2023). Survey on Vocational Teacher Competencies [R]. Haikou: HPDE.
[4] Ministry of Education and Culture, Finland. (2022). AI4EDU: Reducing Administrative Burdens [R]. Helsinki: MEC.
[5] Hainan Vocational University of Science and Technology. (2023). AI-Enhanced Classroom Initiatives [R]. Haikou: HVUST.
[6] Guangdong Technical College. (2023). Pilot Report on AI-Assisted Lesson Planning [R]. Guangzhou: GTC.
[7] Hainan Provincial People's Government. (2021). Hainan's 14th Five-Year Plan for Vocational Education [Z]. Haikou: HPPG.
[8] Korean Ministry of Education. (2023). K-MOOC Annual Report [R]. Seoul: KMOE.
[9] Hainan College of Economics and Business. (2023). Industry-Academia Collaboration Practices [J]. Vocational Education Research, (5), 23-30.
[10] TeachFX. (2023). Impact Report on AI-Driven Formative Assessment [R]. California: TeachFX Inc.
[11] Hainan Education Department. (2023). Teacher Digital Literacy Survey [R]. Haikou: HED.
[12] Hainan Bureau of Statistics. (2023). Digital Infrastructure in Rural vs. Urban Schools [R]. Haikou: HBS.
[13] Government of Kerala. (2022). Hi-Tech School Program Evaluation [R]. Thiruvananthapuram: GoK.
[14] Guangdong Vocational Education Research Center. (2023). AI Resources and Graduate Employability [J]. Vocational Education Quarterly, 12(4), 56-67.
[15] European Union. (2018). General Data Protection Regulation (GDPR) [Z]. Brussels: EU.
[16] Estonian Ministry of Education. (2022). Blockchain in Education: Case Study [R]. Tallinn: EME. 17. Hainan Vocational College. (2023). Smart Teacher Training Platform Case Study [R]. Haikou: HVC.
Downloads: | 14631 |
---|---|
Visits: | 727428 |