AI Large Models Empowering the Construction of Fintech Specialties: Path Exploration and Teaching Reform Practice

Abstract

Abstract: With the advent of the Fintech 3.0 era, the industry's demand for compound talents is becoming increasingly urgent. However, fintech professional teaching has obvious deficiencies in real-time, practicality, and personalized training. This paper explores the path and teaching reform practice of AI large model empowering fintech professional construction. Through the deep integration of technological innovation and teaching design, a new talent cultivation system that meets industry needs is created. The research proposes a framework design for AI large model empowering fintech education, including technical support, curriculum system optimization, teaching method innovation, and practical teaching upgrade. Taking the reform of the blockchain finance course as an example, this paper elaborates on the intelligent contract development training model based on AI large model, which effectively enhances students'practical ability through Codex case generation, student debugging and optimization, and sandbox environment pressure testing. This study provides valuable practical references for the transformation of higher education in the era of artificial intelligence.

Key words: AI large model, Fintech, Teaching reform, Intelligent education, Talent cultivation, Innovation

CLC Number:

F830-4
G642

LI Fengyu, ZHAI Xinyue. AI Large Models Empowering the Construction of Fintech Specialties: Path Exploration and Teaching Reform Practice[J]. The Theory and Practice of Innovation and Enntrepreneurship, 2026, 9(1): 19-21.

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