Author(s)

Xinli Xu ¹, Wenbo Zhu ¹, Huijie Yu ¹, Ka Gao ¹

Affiliation(s)

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

Corresponding Author

Xinli Xu

ABSTRACT

This paper addresses three key problems in engineering drawing teaching including superficial AI application, fragmented practical training and insufficient research achievement transformation, and proposes a closed-loop practical teaching model with intelligent robots as engineering carriers. The model covers AI-aided parametric modeling, 3D digital design, 3D printing manufacturing and intelligent verification, forming a full practice chain from conceptual design to physical prototype testing. Integrating AI parametric modeling, automatic drawing inspection and 24/7 intelligent tutoring functions, the study constructs a hierarchical robot project practice system and a research-teaching-competition linkage mechanism for research achievement transformation. Teaching practice proves the model effectively improves students’ intelligent design ability, connects drawing design with physical manufacturing and functional verification, and enhances their comprehensive engineering competence and innovation performance. It provides a replicable scheme for the digital and intelligent upgrading of engineering drawing courses.

KEYWORDS

Artificial intelligence; Engineering drawing; Intelligent robots; Closed-loop practical teaching; Integration of research and education

CITE THIS PAPER

Xinli Xu, Wenbo Zhu, Huijie Yu, Ka Gao. A Closed-Loop Practice-Oriented Teaching Reform Framework for Engineering Drawing Empowered by AI and Intelligent Robots. Adult and Higher Education (2026). Vol. 8, No. 2, 135-140. DOI: http://dx.doi.org/10.23977/aduhe.2026.080216.

REFERENCES

[1] Liang Z. J., & Liu W. H. (2025). Research on the Pathways for Improving Engineering Students' Professional Competence in the Context of Emerging Engineering Education. Public Relations World, (5), 115–117. DOI:10.27036/j.cnki.1005-3239.2025.05.041.
[2] Zheng R., Tan J., Li S. X., et al. (2025). Reform and Practice of Blended Teaching in Engineering Drawing Courses Empowered by Digital Intelligence Technologies. Higher Education of Chemical Engineering, 42(1), 61–66+77.
[3] Xu Z., Wang Y. W., & Zhao X. L. (2025). Exploration and Reflection on Project-Driven Reform of Engineering Drawing Courses. Journal of China Multimedia & Network Teaching, (9), 217–220.
[4] Xu X. L., & Zhu W. B. (2025). Practice and Reflection on the Cross-Disciplinary Talent Cultivation Model of "Engineering Drawing + Intelligent Control". Educational Research of University of Shanghai for Science and Technology, (1), 42–47.

Sponsors, Associates, and Links

---

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