Exploration on the Optimization of Talent Training Mode for the Digital Economy Empowered by Artificial Intelligence

DOI: https://doi.org/10.62517/jike.202604223

Author(s)

Xiaofang Guo*

Affiliation(s)

School of Finance, Fuzhou University of International Studies and Trade, Fuzhou, Fujian, China *Corresponding Author

Abstract

As the digital economy becomes a major engine of global economic growth, high-caliber professionals are essential to its high-quality development. The rapid advancement of artificial intelligence (AI) has brought new opportunities to reform talent training for digital economy majors in universities. This paper first discusses the strategic importance of AI-enabled talent cultivation, and then analyzes the current status and existing problems in relevant practices. On this basis, it puts forward targeted optimization strategies covering training objectives, curricula, teaching models, teaching staff, practical platforms and evaluation mechanisms. The findings provide theoretical and practical references for universities to cultivate interdisciplinary and innovative talents adapted to the development of the digital economy.

Keywords

Artificial Intelligence; Digital Economy; Talent Training Mode; Optimization Path; University Education

References

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