ARTICLE
17 September 2026

Research on Teaching Strategies for Prefabricated‑Building Construction Major Under the Background of Artificial Intelligence

Bing Tang1*
Show Less
1 Sichuan Vocational University of Architectural Technology, Deyang 618000, Sichuan, China
erd 2026 , 8(8), 273–278; https://doi.org/10.26689/erd.v8i8.15388
© 2026 by the Author(s). Licensee: Bio-Byword Scientific Publishing Pty Ltd, Australia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

With the in‑depth integration of artificial‑intelligence technology and building industrialization, the prefabricated‑building industry is undergoing full‑chain intelligent transformation covering design, production, construction, and operation and maintenance. This transformation brings unprecedented challenges as well as opportunities for talent cultivation in the traditional prefabricated‑building construction major. This paper systematically explores the core problems existing in the teaching of the prefabricated‑building construction major in the context of artificial intelligence. Firstly, it analyzes how AI technologies (such as BIM, Internet of Things, machine vision, intelligent robots, big‑data analytics, etc.) reshape management, technological processes and decision‑making modes on prefabricated‑building construction sites. It further analyzes new requirements for knowledge structure, skill literacy and innovation capacity of construction‑specialty talents brought by such changes. On this basis, this paper puts forward an integrated and dynamic teaching‑strategy system oriented toward the future, covering multiple dimensions including curriculum‑system reconstruction, teaching‑scene innovation, faculty‑competency improvement, evaluation‑mode transformation and deeper integration of industry and education. It aims to cultivate compound high‑end technical‑skill talents who are capable of mastering intelligent tools, solving complex engineering problems and possessing capabilities of continuous learning and innovation.

Keywords
Artificial intelligence
Prefabricated building
Construction major
Teaching strategy
Intelligent construction
References

[1]   Guo W, Cheng Y, Zhang S, et al., 2024, Summary of Application of Intelligent-Construction Technologies in Prefabricated Buildings. Proceedings of the 2024 National Engineering-Construction-Industry Construction-Technology Exchange Conference (Volume II), 2024: 926–929.

[2]   Zhang Y, 2025, Exploration on Talent Cultivation of Intelligent-Construction-Technology Major in Five-Year Higher Vocational Education. Innovation and Entrepreneurship Theory Research and Practice, 8(11): 85–87.

[3]   Qiu J, Zhao X, Li H, et al., 2024, Summary on Practical Application of BIM Technology in Construction of a Large-Scale Complex in Beijing. Intelligent Building & Smart City, 2024(3): 85–87.

[4]   Fu C, Pan L, 2025, Exploration on Reform of Talent-Cultivation Mode for Architectural-Engineering-Technology Major Under the Background of Intelligent Construction. New Curriculum Research, 2025(30): 79–81.

[5]   Ding L, 2019, Thoughts on Cultivation of Innovative Engineering-Science-and-Technology Talents for Intelligent Construction. Research in Higher Education of Engineering, 2019(5): 1–4 + 29.

[6]   Yan X, Wu Q, 2024, Exploration on AIGC Empowering Digital-Transformation of Higher-Vocational-College Teaching. Vocational Education Research, 2024(5): 26–31.

[7]   Lu X, Lin L, 2025, “Teacher-Machine-Student” Ternary Teaching Model Based on Generative Learning and Its Practice. Journal of Higher Continuing Education, 38(2): 73–80.

[8]   Niu J, Wei C, 2026, Logical Shift, Mechanism Reconstruction and Governance Path of University Knowledge Production in the Digital-Intelligence Era. Jiangsu Higher Education, 2026(1): 10–18.

[9]   Qin F, 2017, Cross-Border Collaboration and Path Selection for the Construction System of “Dual-Competency Teachers” in Higher Vocational Colleges. Vocational Education Forum, 2017(23): 9–12+39.

[10] Xiang C, 2025, Exploration and Practice of “Teaching-Learning-Research-Innovation” Integrated Training Mode Based on LMS — Taking K-12 Artificial-Intelligence Teachers as an Example. Educational Information Technology, 2025(Z2): 156–160.

Conflict of interest
The author declares no conflict of interest.
Share
Back to top