Research on the Development Path of an Artificial Intelligence Faculty Training System Based on the Construction of National First-Class Majors_Vol. 2 No. 5 (JHET 2025)_Journal of Higher Education Teaching (ISSN: 3005-5776)

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Research on the Development Path of an Artificial Intelligence Faculty Training System Based on the Construction of National First-Class Majors

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DOI: https://doi.org/10.62517/jhet.202515543

Author(s)

Xiangjiang Li, Ting Peng*, Jing Wang

Affiliation(s)

College of Digital Technology and Engineering, Ningbo University of Finance and Economics, Ningbo, Zhejiang, China *Corresponding Author

Abstract

With the deepening development of national first-class majors in higher education institutions, high-level artificial intelligence faculty has become crucial for ensuring the quality of talent cultivation. Based on the context of national first-class major construction, this study reviews the research status of Artificial Intelligence faculty training both domestically and internationally. The research identifies four core issues in the current Artificial Intelligence training system in higher education: the lack of unified standards connecting faculty training systems with first-class major criteria; disconnection between curriculum content and cutting-edge technological advancements as well as actual industry needs; singular approaches to effectiveness evaluation; and the absence of mechanisms for translating training outcomes into teaching resources. To address these issues, a systematic development pathway is proposed: establishing a faculty competency framework and training standards aligned with national first-class major certification criteria, promoting a training model deeply integrated with industry, academia, research, and application, and creating a comprehensive evaluation system combining process-oriented and developmental approaches. This research provides theoretical reference and practical paradigms for the systematic and high-quality implementation of Artificial Intelligence faculty training in national first-class majors, thereby strongly supporting the sustainable development of these majors and the strategic cultivation of innovative talent.

Keywords

National First-Class Major; Computer; Artificial Intelligence; Teacher Training; Construction Path

References

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