Author(s)

Yuanyuan Cui ¹

Affiliation(s)

¹ School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China

Corresponding Author

Yuanyuan Cui

ABSTRACT

Engineering Drawing is a fundamental core course for engineering majors. Traditional teaching methods face challenges such as the difficulty in cultivating spatial thinking, delayed feedback on drawing standards, and the inability to address individual student differences. This paper proposes a blended teaching reform model framed as "AI-empowered-Three stage-Five link", integrating technologies like Large Language Models (LLMs), AI image recognition, and intelligent agent evaluation into the entire teaching process. By constructing AI-assisted knowledge graphs, facilitating collaborative classroom inquiry, and implementing automated drawing evaluation via AI agents, the model reconstructs a classroom ecosystem that balances "teacher guidance" with "student centrality". Practice demonstrates that this model effectively enhances the spatial imagination, awareness of drafting standards, and engineering expression capabilities of students, while simultaneously reducing the grading burden on teachers. It provides a scalable, lightweight pathway for the digital transformation of Engineering Drawing courses in general colleges and universities.

KEYWORDS

Artificial intelligence; Engineering drawing; Blended learning; Knowledge graph; Intelligent assessment; Educational reform practice

CITE THIS PAPER

Yuanyuan Cui. Construction and Practice of "Three Stage-Five Link" Blended Teaching Model in Engineering Drawing Empowered by AI Empowered. Adult and Higher Education (2026). Vol. 8, No. 3, 35-41. DOI: http://dx.doi.org/10.23977/aduhe.2026.080305.

REFERENCES

[1] Cui Yuanyuan, Zhu Wenbo. (2024) Research on the Integration of Ideological and Political Elements into Mechanical Drawing Courses. Advances in Vocational and Technical Education, 6, 116-120.
[2] Cui Yuanyuan, Niu Tianye, Weng Shuo, Zhu Wenbo. (2023) Mining of Ideological and Political Elements and Teaching Design of Ideological and Political Content for Mechanical Drawing Course. Advances in Educational Technology and Psychology, 7, 137-141.
[3] Li Chunming. (2026) Learning difficulty facilitation in engineering drawing course. Mechanical Design and Manufacturing Engineering, 55, 139-142.  
[4] Yang Jie, Li Na, Zhang Xiao. (2026) Exploration on the Integration Path of Skills and Ideological &Political Education in the Engineering Drawing Course. Mold manufacturing, 7, 141-143.
[5] Cheng Rong, Lei Jianguo, Peng Xiaobo. (2026) Research on the Construction and Application of a Virtual Teaching and Research Office for Engineering Drawing Course Empowered by Digital Technology. Modern Educational Equipment in China, 17, 31-35. 

Sponsors, Associates, and Links

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• Advances in Educational Technology and Psychology
  
  
• Curriculum and Teaching Methodology
  
  
• Transactions on Comparative Education
  
  
• Applied & Educational Psychology
  
  
• Advances in Vocational and Technical Education