华东师范大学学报(教育科学版) ›› 2026, Vol. 44 ›› Issue (3): 25-39.doi: 10.16382/j.cnki.1000-5560.2026.03.003

• 人工智能时代的教育转型 • 上一篇    下一篇

人工智能时代经济学人才培养范式创新与发展——兼及对新文科建设的思考

陈诗一, 陈梅   

  1. 复旦大学 经济学院,上海 200433
  • 接受日期:2025-07-16 出版日期:2026-03-01 发布日期:2026-03-02
  • 基金资助:
    国家自然科学基金委员会创新研究群体项目“中国经济发展规律与治理机制研究”(72121002)。

The Innovation and Development of Talent Cultivation Paradigm in Economics in the AI Era: A Reflection on the Construction of the New Liberal Arts

Shiyi Chen, Mei Chen   

  1. School of Economics, Fudan University, Shanghai, 200433, China
  • Accepted:2025-07-16 Online:2026-03-01 Published:2026-03-02

摘要:

新一代人工智能技术正对经济和经济学产生巨大冲击和深远影响,经济学及其人才培养范式亟须创新。为此,本文首先分析了人工智能技术的迅猛发展态势,梳理了人工智能对经济学等学科影响的已有研究。其次,进一步分析了人工智能技术对经济学的挑战和机遇,明确了人工智能时代经济学发展新定位就是要实现从经典计量经济方法驱动迭代、融合、升级到人工智能技术驱动这样一个根本转型。基于此,我们创新性地提出了人工智能时代经济学人才培养的“五维”基础素养体系,包括领域知识技能、学科融合技能、数据驱动技能、人工智能应用技能、前沿敏感技能,并按照研究型和应用型的人才分类,细化分析两类人才的特有素养需求。最后,本文从“教”向数字化转型、“学”向交互化转型这两个维度,分析了人工智能时代经济学人才培养的教改创新路径和合理制度安排。可以说,人工智能技术的迅猛发展将加快新文科建设的步伐,进一步推动经济学与科技、伦理、社会等多学科与产业和实践深度交叉融合的人才培养范式创新。

关键词: 人工智能, 经济学, 人才培养范式, 教学改革, 新文科

Abstract:

The new generation of artificial intelligence (AI) technology is having a profound and far-reaching impact on the economy and economics, and there is an urgent need for innovation in economics and its talent cultivation paradigm. Therefore, this article first analyzes the rapid development trend of artificial intelligence technology and reviews the existing research on the impact of artificial intelligence on disciplines including economics. Secondly, further analysis was conducted on the challenges and opportunities of artificial intelligence technology for economics, and it was clarified that the new orientation of economic development in the era of artificial intelligence is to achieve a fundamental transformation from classical econometrics driven by iteration, integration, and upgrading to AI technology driven. Based on this, we innovatively propose a “five dimensional” foundational literacy for cultivating economic talents in the AI era, including domain knowledge and skills, interdisciplinary integration skills, data-driven skills, AI application skills, and frontier sensitivity skills. We also classify talents into research-oriented and application-oriented categories, and analyze the unique literacy needs of these two types of talents in detail. Finally, this article analyzes the innovative path of educational reform and reasonable institutional arrangements for cultivating economic talents in the era of artificial intelligence from two dimensions: the transformation of teaching through digitalization and learning through interactivity. It can be said that the rapid development of artificial intelligence technology will accelerate the pace of the construction of new liberal arts, further promoting the innovation of talent cultivation paradigms that deeply integrate economics with other disciplines such as technology, ethics, and society, as well as industry and practice.

Key words: artificial intelligence, economics, talent cultivation paradigm, teaching reform, new liberal arts