In the process of building up an Education Powerhouse, the high-quality development of vocational education teachers is crucial. This paper delves into the objectives and challenges of vocational education teacher development, combining the current research landscape with the characteristics of DeepSeek, and finally proposes a framework for intelligent technology-empowered development of vocational education teachers. This framework contains three aspects: social system support for teacher development, enhancement of teachers' intelligent technology application capability, and collaborative optimization of human-technology-organization. Subsequently, a case study approach is employed to investigate the intelligent technology-enabled development pathways for vocational education teachers, with DeepSeek serving as a representative technological model. The study finally points out the bottlenecks inherent in DeepSeek-empowered vocational education teacher development and offers directions for further research.

Liu Tiezhu. Intelligent Technology-Enabled Development Path for Vocational Education Teachers in the Construction of an Education Powerhouse: A Study Based on DeepSeek Large Model. Frontiers in Educational Research (2025), Vol. 8, Issue 7: 165-173. https://doi.org/10.25236/FER.2025.080724.

[1] Chen Congcong, Li Chen, Wang Yafei. Sora Text-to-Video Model for Education and Teaching: Opportunities and Challenges [J]. Modern Educational Technology, 2024, 34(05): 27-34.

[2] CPC Central Committee and State Council Issue "Education Powerhouse Construction Plan Outline (2024-2035)" [N]. People's Daily, 2025-01-20(006).

[3] Zeng Benyou. Three-dimensional Quality Survey and Training Strategy of "Dual-Qualified" Teachers -- Taking Secondary Vocational Dual-Qualified Teachers in Western Guangdong as an Example [J]. Vocational and Technical Education, 2017, 38(02): 55-59.

[4] Zhang Mingkai, Jin Yule. Practical Implications of Socialist Education Thought with Chinese Characteristics in the New Era [J]. Modern Education Management, 2019, (11): 1-6.

[5] Chen Shuwei. Realistic Challenges and Path Choices for Higher Vocational Teachers' Teaching Development in the AI Era [J]. Vocational and Technical Education, 2024, 45(35): 56-60.

[6] Jiao Xiaocong. Modernization Construction of Chinese-style Vocational Education "Dual-Qualified" Teachers: Era Significance, Logical Principles, and Action Strategies [J]. Vocational Education Research, 2024, (04): 12-18.

[7] Zheng Chunling, Li Ying. Research on the Construction of University Online Course Teaching Teams Based on Data-Driven Approach -- Taking Hubei Open University Online Course Teaching Team as an Example [J]. Journal of Hubei Open University, 2024, 44(02): 36-41.

[8] Jin Feng. Focusing on "Four Orientations", Operators Light-Speed Access DeepSeek [J]. Communications World, 2025(3):5.

[9] Deng Jianpeng, Zhao Zhisong. DeepSeek's Breakthrough and Transformation: On the Regulatory Direction of Generative Artificial Intelligence [J/OL]. Journal of Xinjiang Normal University (Philosophy and Social Sciences Edition), 2025, 1-10.

[10] Ling Xiaoxiong. DeepSeek Opens the Post-ChatGPT Era -- Based on Digital Paradigm Innovation and Its Operational Philosophy [J/OL]. Journal of Northwestern Polytechnical University (Social Sciences Edition), 2025, 1-9.

[11] Liu Qicheng. Whose Face Did DeepSeek Slap? [J]. Communications World, 2025, (03):1.