Research on Blended Teaching Reform of Engineering Drawing Course Empowered by AI Application on the BOPPPS Model

DOI

10.2991/978-2-38476-628-4_9How to use a DOI?

Keywords

Artificial Intelligence; BOPPPS Teaching Model; Logistics Engineering CAD; Blended Teaching; Triadic Collaboration

Abstract

With the rapid development of generative artificial intelligence technology, higher education is undergoing a profound transformation from the traditional “teacher-student” dual structure to a “teacher-AI-student” triadic structure. As a core course for logistics major, Engineering Drawing faces practical challenges such as insufficient student engagement due to the widespread use of AI tools. Based on the BOPPPS teaching model, this study takes the “Logistics Engineering CAD” course of the Logistics Management major at Shenzhen Technology University as an example, and constructs a blended teaching model with triadic collaboration among teachers, AI, and students. This paper elaborates on the role positioning and collaborative mechanisms of teachers, AI, and students in three stages—pre-class, in-class, and post-class—and demonstrates the implementation pathway of AI-empowered teaching through specific course chapters, providing a referable practical framework for the intelligent teaching reform of engineering practice-oriented courses.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Lei Gong
AU  - Zhu Han
PY  - 2026
DA  - 2026/10/30
TI  - Research on Blended Teaching Reform of Engineering Drawing Course Empowered by AI Application on the BOPPPS Model
BT  - Proceedings of the 2026 2nd International Conference on Education Research and Training Technologies (ERTT 2026)
PB  - Atlantis Press
SP  - 90
EP  - 97
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-628-4_9
DO  - 10.2991/978-2-38476-628-4_9
ID  - Gong2026
ER  -