Exploration of the Model “1523+N” Application-oriented Cultivation of Talent under the AI and Digital Intelligence Era

DOI: https://doi.org/10.62517/jhet.202515611

Author(s)

Ning Fu1, 2*, Lei Ni1, Xiaoyu Li3, Jing Zhao3

Affiliation(s)

1Guang’an Institute of Technology, Guang’an, Sichuan, China 2University of Electronic Science and Technology of China, Chengdu, Sichuan, China 3Chengdu Technological University, Chengdu, Sichuan, China *Corresponding Author

Abstract

With development of the artificial intelligence technology, the higher education model has undergone a systematic change. There are some issues in the traditional education paradigms, such as limitations of physical space, data silos, delayed teaching and learning feedback, and weak industry-education integration, which hinder the support for multi-scenario teaching, precise diagnostics, and the cultivation of innovative talents. A new model named “1523+N” is proposed in this paper to solve the current dilemmas of application-oriented universities. Firstly, a digital teaching platform is set up to break the constraints of traditional teaching spaces and promote the teaching governance and management. With an AI-driven “523” data governance mechanism, it enables continuous collection and real-time analysis of teaching process data, allowing for accurate assessment of teaching and learning performance. Furthermore, it forms N-dimensional pathways by a multi-angle graph of “industry-job-ability-knowledge-course-cultivation objectives” to facilitate precise alignment between industry and education and foster innovation through virtual-physical integrated practices. This research provides an actionable reference for higher education teaching systems in the context of digital transformation.

Keywords

Digital Teaching Platform; AI-Driven; Data Governance; Talent Cultivation

References

[1]Qian, H. H., Wang, M. Y., and Xiong, Y. Research on the Current Situation and Development of Digital Transformation in Higher Education. Big Data Research, 2023(3): 56-70. [2]Tian, J. L., Duan, L., and Wang, C. Y. Research on the path of digital education support system for cultivating top-notch talents. China Information Technology Education, 2025(2): 104-107. [3]Zhang, X. Analysis of the Transformation Path of AI-Enabled Teaching Management Model in Higher Vocational Education. Modern Vocational Education, 2025(23). [4]Xu, H. X. “Intelligent+Education”: Applica-tion scenarios, risks and challenges, and governance strategies. Fudan Education Forum, 2023, 21(2): 24-30. [5]Luo, J. J. Research on teaching management in higher vocational colleges under the background of artificial intelligence. Vocational Education Development, 2025, 14(4): 128-132. [6]Chen, L. M., Zhang, W., and Liu, X. Y. Research on the Construction of University Teaching Governance System Based on Data Middle Platform. Modern Educational Technology, 2024, 34(1): 45-52. [7]Wang, Z. Q., Li, J., and Zhou, T. Research on the AI-Driven Process Evaluation Model for Teaching. e-Education Research, 2025, 46(3): 78-85. [8]Liu, J. P., Zhao, M., and Sun, L. H. Construction of a Virtual-Physical Integrated Practical Teaching System under the Background of Industry-Education Integration. Laboratory Research and Exploration, 2024, 43(5): 112-118. [9]Huang, M. L., and Wu, J. J. Research on the Innovative Model of Engineering Education Based on Digital Twin Technology. Research in Higher Education of Engineering, 2025, 43(2): 89-95. [10]Zheng, X. F., Wang, L. N., and Chen, Z. G. Research on the Development Path of Teachers’ Intelligent Education Literacy under the Background of Digital Transformation. China Educational Technology, 2024, 42(8): 67-74.