erdEducation Reform and Development2652-53642652-5372Bio-Byword Scientific Publishing Pty. Ltd.10.26689/erd.v8i5.15296ArticleReform and Practice of Talent Training Mode for Artificial Intelligence Major in Universities Under the Background of New Engineeringhttps://artdesignp.com/journal/erd/8/5/10.26689/erd.v8i5.15296WuYao,ZhangHua,XueHongxiang,DingQi’an,YangXing2026852026-06-30Under the background of the continuous advancement of new engineering construction, the rapid development of the artificial intelligence industry has put forward higher requirements for talent training in colleges and universities. At present, there are many problems in the training of artificial intelligence professionals in colleges and universities, which cannot meet the needs of the industry and the goals of new engineering construction. Guided by the new engineering concepts of “integration of industry and education, cross-border integration”, this paper adopts the method of combining literature research and practical analysis to confirm the practical significance of the reform of the talent training mode for artificial intelligence majors, comprehensively analyzes the four major difficulties of interdisciplinary integration, industry-education collaboration, faculty reserve, and practical resources, and puts forward targeted reform approaches including curriculum system construction, deepening of industry-education mechanism, faculty team building, and upgrading of practical conditions. Specific practical cases are used to improve the implementation methods. The research results provide operational references for colleges and universities to improve the talent training mode and quality of artificial intelligence majors, and boost the high-quality development of the artificial intelligence industry.

Qi Q, Dong Y, Zhang J, et al., 2025, Exploration on the Innovation of Artificial Intelligence Talent Training Mode Driven by the Improvement of Practical Innovation Ability Under the Background of New Engineering. Industrial & Science Tribune, 24(6): 120–122.

Shen A, Du Y, Niu S, et al., 2025, Reform Exploration and Practice of Basic Artificial Intelligence Courses Under the Background of “New Engineering”. Educational Progress, 15(12): 1399–1410.

Li T, Zhang Y, Ye M, 2024, “AI”, “AI+” or “+AI”? Model Construction and Path Analysis of Artificial Intelligence Talent Training. Research in Higher Education of Engineering, (2): 24–30.

Zhu R, Yang Y, Zhang X, et al., 2024, Exploration of “AI+X” Talent Training System Under the Background of Information Technology Innovation. Computer Education, (3): 165–171.

Fan C, Wang G, Yang T, et al., 2023, Construction of Applied Artificial Intelligence Talent Training Mode from the Perspective of Industry-Education Integration. Computer Education, (9): 14–19.

Zhong B, Li M, Zhang M, 2024, Research on Interdisciplinary Education Mode of Artificial Intelligence Major Oriented by New Engineering. E-Education Research, (8): 102–108.

Chen H, Dong Y, Qi Q, 2024, Construction of “Double-Qualified” Faculty for Artificial Intelligence Major from the Perspective of School-Enterprise Collaboration. Higher Education of Sciences, (4): 89–95.

Wang X, Hu Q, Wang G, 2024, Optimization and Sharing Path of Artificial Intelligence Practical Teaching Resources Under the Background of New Engineering. China University Teaching, (5): 78–84.

Feng J, Liu C, 2023, Research and Practice on Teaching Reform of Multi-Integration Joint Graduation Project. Journal of Higher Education, 9(29): 149–152.

Zhang J, Dong Y, Chen H, 2025, Practice of Artificial Intelligence Talent Training Under the “Four Chains and Three Integrations” Mode. Application Research of Computers, 42(3): 987–991.