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Innovative Models and Implementation Pathways of Artificial Intelligence-Enhanced Teaching in Finance Courses

Xiaodan Guo, Zhichen Wan, Jinhui Huang

Abstract


The deep integration of digital technology and the financial industry has led to a comprehensive paradigm shift in the teaching con
tent, cultivation model, and practice system of finance education. Traditional finance education faces critical challenges including the theory
practice gap, monotonous teaching methods, and capability development lagging behind industry demands. AI serves as a pivotal enabler to
address these issues. This paper anchors in the teaching realities in finance sector, analyzes the internal logic of AI to enhance teaching, ex
plores the innovative pathways of teaching models from four dimensions: teaching content reengineering, teaching method innovation, prac
tice system optimization, and evaluation mechanism refinement, and proposes concrete implementation strategies based on teaching practice,
aiming to build a modernized finance teaching system that aligns with industrial evolution and meets the needs of talent cultivation, enhance
the quality of finance talent cultivation and contribute to the high-quality development of finance education.

Keywords


Artificial Intelligence (AI); Finance; Teaching Model; Innovation Practice; Talent Cultivation

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References


[1] Kewen Zhang,Xiaoyu Song. (2026) Digital-Intelligent Teaching Reform and Practice of Finance Courses under the Background of AI [J].

China Economist, 2, 225-226.

[2] Cui Xie, Ling Ling. (2025) AI-Enhanced Teaching of Finance Courses in Vocational Undergraduate Education [J]. University Educa

tion, 23, 165-168.

[3] Zhihao Xu. (2025) Theoretical Framework, Challenges and Optimization Pathways of AI-Enhanced University Teaching:A Case Study

of Finance [J].West Journal, 22, 18-21.

[4] Longtian Zhang. (2025) Teaching Reform in Core Specialized Courses of Economics and Management in the Era of AI:A Case Study of

International Finance Course [J]. The Guide of Science and Education, 31, 4-6.




DOI: http://dx.doi.org/10.70711/memf.v3i6.9243

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