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Research on the Reform of Teaching Models in Higher Education and the Cultivation of Digital-Intelligent Talent

Author(s)

He Yu*,Ruitao Wang

Affiliation(s)

Liaoning University of International Business and Economics, Dalian, China *Corresponding Author

Abstract

Traditional higher education teaching models face delayed knowledge, monotonous methods, and disconnect from industry needs. This study proposes a “digital-intelligence-driven and four-chain-integrated” reform framework. A controlled experiment (92 students per group) shows the reform significantly improves digital-intelligent literacy (comprehensive index from 54.0 to 87.5). Countermeasures are suggested from curriculum, teaching, platform, and evaluation perspectives.

Keywords

Teaching Model Reform; Digital-Intelligent Talent Cultivation; Higher Education; Digital-Intelligent Literacy; Industry-Education Collaboration

References

[1] State Council of the People’s Republic of China. Notice of the State Council on Issuing the 14th Five-Year Plan for Digital Economy Development [Z]. 2021-12-12. [2] State Council of the People’s Republic of China. Guiding Opinions of the State Council on Strengthening the Construction of Digital Government [Z]. 2022-06-23. [3] Zhu Zhiting, Hu Jiao. An Analysis of the Essence of Educational Digital Transformation and Its Research Prospects [J]. China Educational Technology, 2022(4): 1-8+25. [4] Zhu Yongxin, Yang Fan. The Practical Logic, Application Scenarios, and Governance Pathways of China’s Educational Digital Transformation [J]. China Educational Technology, 2023(1): 1-7+24. [5] Yu Shengquan. Levels of Educational Digital Transformation [J]. China Educational Technology, 2023(2): 55-59+66. [6] Li Ming, Han Xibin, Li Meng, Zhou Qian. Visions, Challenges, and Countermeasures for the Digital Transformation of Teaching in Higher Education [J]. China Educational Technology, 2022(7): 23-30.