创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (1): 19-21.

• 教学革新 • 上一篇    下一篇

AI大模型赋能金融科技专业建设:路径探索与教学改革实践

李凤羽, 翟欣悦   

  1. 东北财经大学 金融科技学院,辽宁大连 116025
  • 出版日期:2026-01-10 发布日期:2026-06-30
  • 作者简介:李凤羽(1980—),男,辽宁大连人,博士研究生,教授,研究方向:公司金融、金融科技。
  • 基金资助:
    辽宁省教育科学规划—教育科研中青年骨干专项重点项目“AI大模型赋能金融科技专业建设”(JG24QGA22);东北财经大学研究生教学改革研究项目“金融科技专业多学科交叉学术型研究生培养体系研究与实践”(yjzd202309);辽宁省教育厅专项资金——研究生科研创新专项“银行数字化加速器:来自金融科技监管沙盒的证据”(DUFEYJS24020)

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

LI Fengyu, ZHAI Xinyue   

  1. Fintech School of Dongbei University of Finance and Economics, Dalian Liaoning, 116025, China
  • Online:2026-01-10 Published:2026-06-30

摘要: 随着金融科技3.0时代的到来,行业对复合型人才需求迫切,但金融科技专业教学的实时性、实践性和个性化不强。该文探讨了AI大模型赋能金融科技专业建设路径与教学改革实践,通过技术创新与教学设计融合,打造适应行业需求的新型人才培养体系;提出AI大模型赋能金融科技教育框架设计,涵盖技术支撑、课程体系优化、教学方法创新和实践教学升级等;以区块链金融课程改革为例,阐述基于AI大模型的智能合约开发实训模式,经Codex案例生成、学生调试优化和沙箱环境压力测试等环节,提升学生实践能力,为高等教育在人工智能时代转型提供实践参考。

关键词: AI大模型, 金融科技, 教学改革, 智能教育, 人才培养, 创新

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

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