Article Details

Abstract

In the wave of digital transformation, vocational education faces practical dilemmas such as the abstraction of theoretical teaching, the shortage of training resources, and the lack of personalized guidance. Taking the course Hydraulic and Pneumatic Technology as the research object, this paper systematically expounds the innovative practice of building a learning assistance agent based on the Doubao large model. The research shows that through the “virtual rehearsal - physical verification” dual-cycle training mode, the application of multimodal interaction technology, and the personalized learning path driven by a dynamic knowledge network, the agent effectively solves the major pain points of traditional teaching, improving the efficiency of principle understanding by 50% and the course passing rate to 93%. The research confirms that the AI-empowered new model of vocational education not only reconstructs the collaborative relationship among “teachers - students – machines” but also forms a replicable integration paradigm of “vertical domain large model + professional courses”, providing an empirical reference for the digital transformation of vocational education.

Keywords

AI-empowered; vocational education; learning assistance intelligent agent

References

1. [1] Jiang Huifang, Zeng Wenjie Generative artificial intelligence drives the transformation of educational evaluation [J]. Chinese Journal of Education, 2025 (8): 41-48
2. [2] Liu Xiaoli, Qiu Bingzhong, Pei Lianqun, etc Application Practice of Intelligent Agents in the Course of "Printing Principles and Processes" [J]. Research on Printing and Digital Media Technology, 2025 (3): 156-165202
3. [3] Xu Fang AI Empowering Deep Cultivation of English Writing Ideas: Teaching Action Research [J]. Foreign Language World, 2025 (6): 59-66, 82
4. [4] Wang Weikun, Yang Sitong, Wang Changqing, etc Knowledge Graph and AI Assistant Empowering BOPPPS Teaching Mode in Organic Chemistry Course Teaching Reform [J]. Chemistry Education (Chinese and English), 2025, 46 (24): 7-17
5. [5] Hou Qiang, Liu Caihua, Baojian Gang, etc Research on Innovative Ideas of VR Technology in Hydraulic and Pneumatic Transmission Course Teaching [J]. China Machinery, 2023 (27): 92-95
6. [6] Jiang Chencheng, Wei Yuang, Wu Limeng Empowering Personalized Learning with Generative AI: Mechanisms, Transformations, and Trends [J]. Jiangsu Higher Education, 2025 (12): 61-68
7. [7] Liu Yan, Li Lin, Chen Wenjun, etc Are you ready for AI companion learning? ——Research on the Design and Practice of Human Computer Collaboration Teaching Empowered by GAI in University Classrooms [J]. Research on Electronic Education, 2025, 46 (12): 113-121
8. [8] Li Jianxuan, Jiang Jiahao The development trend of AI empowering digital transformation in manufacturing industry [J]. Scientific Research, 2026, 44 (6): 1169-1177
9. [9] Zhang Zewen Exploring the Application Path of Generative AI Empowering High School Geography ADI Teaching Mode in Cultivating Students' Scientific Argumentation Ability: Taking "Factors Influencing Population Migration" as an Example [J]. Geography Teaching, 2025 (21): 26-30
10. [10] Chen Guomin, Lv Qin, Chen Pengrun Three "turns", three "segments", and multiple "links" in a double helix - AI empowered reconstruction of management case teaching mode [J]. Management Case Research and Review, 2025, 18 (5): 723-734
11. [11] Bi Shusha, Zhang Linlin Vocational Education Intelligent Agent: AI Empowering the New Landscape of Vocational Education [J]. China Vocational and Technical Education, 2025 (20): 5-11, 20

Funding

Results of the Party Building and Ideological and Political Research Project at Zhejiang University of Mechanical and Electrical Technology; Research Results of the Special Project of the Ideological and Political Alliance Professional Group for Intelligent Manufacturing Courses in the Mechanical Industry (ZZKSKT-2025-12)

About the authors

Yang Tianling (1979-), female, Han ethnicity, from Jingyuan, Gansu Province, associate professor, master's degree, research direction: mechanical design and intelligent manufacturing, vocational education courses.