Author(s)

Junmei Guo ¹, Fei Lin ¹

Affiliation(s)

¹ School of Ocean Technology Science, Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong, China

Corresponding Author

Fei Lin

ABSTRACT

Faced with the urgent demand for high-quality engineering talents in the context of new engineering education development and national innovation-driven strategies, traditional talent cultivation models in local universities encounter practical challenges such as "cooperation without integration" between industry and education, insufficient practical innovation capabilities among students, and weak engineering backgrounds among faculty members. Taking the Automation program at Qilu University of Technology (Shandong Academy of Sciences) as a case study, this paper proposes and implements a "Digital Intelligence Empowerment-Industry-Education Integration" collaborative talent cultivation model. Guided by industrial demands, the model achieves deep integration of education, research, and industry through three core pathways: restructuring the "AI+" curriculum system, establishing multidimensional innovation practice platforms, and building a "dual-qualified" faculty team. Practical implementation demonstrates that this model effectively enhances the alignment between talent cultivation and industrial needs, significantly improving students' engineering practice and innovation capabilities. It provides a replicable paradigm for upgrading new engineering disciplines in local universities.

KEYWORDS

New Engineering; Digital Intelligence Empowerment; Industry-Education Integration; Collaborative Education; Automation Specialty

CITE THIS PAPER

Junmei Guo, Fei Lin, A Study on the Construction and Practice of Diversified Collaborative Education Model for Automation Specialty in the Context of New Engineering—Digital Intelligence Empowerment and Industry-Education Integration. Adult and Higher Education (2025) Vol. 7: 21-28. DOI: http://dx.doi.org/10.23977/aduhe.2025.070504.

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