生成式人工智能赋能高校经济学教学的价值意蕴与优化路径
The Value Implications and Optimization Path of Generative Artificial Intelligence in University Economics Teaching
俞彤晖 1李柯蒙1
作者信息
- 1. 信阳师范大学商学院 河南 信阳 464000
- 折叠
摘要
生成式人工智能凭借逻辑推理、文本生成、智能涌现等卓越能力,为高校经济学专业教育教学带来了前所未有的机遇与动力.文章深入探究了生成式人工智能与高校经济学教学紧密结合的机制,揭示了其在提升教学内容多样性、优化教学模式互动性、革新人才培养模式系统性,以及加强教育管理精准性等方面的巨大潜力.文章进一步提炼了二者深度融合的路径,旨在为高校经济学教育教学注入全新活力,推动人工智能浪潮下经济学学科结构的持续优化与升级跃迁.
Abstract
Generative artificial intelligence(AI)has introduced unprecedented opportunities and momentum to the teaching of economics in higher education due to its exceptional capabilities in logical reasoning,text generation,and intelligent emergence.This paper examines the mechanisms underlying the close integration of generative AI and economics education in colleges and universities,highlighting its substantial potential to enhance the diversity of teaching content,optimize the interactivity of teaching methods,innovate the systemic nature of talent cultivation models,and strengthen the precision of educational management.Furthermore,this paper delineates the pathways for the deep integration of generative AI and economics education,aiming to infuse new vitality into the teaching of economics and to foster the continuous optimization and upgrading of the economics discipline structure in the era of artificial intelligence.
关键词
生成式人工智能/高校经济学/教学模式Key words
generative artificial intelligence/university economics/teaching methods引用本文复制引用
出版年
2024
NETL
NSTL
万方数据