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

作　　者：俞彤晖 李柯蒙 YU Tonghui;LI Kemeng(School of Business,Xinyang Normal University,Xinyang,Henan 464000)

机构地区：[1]信阳师范大学商学院,河南信阳464000

出　　处：《科教导刊》2024年第33期64-66,共3页The Guide Of Science & Education

基　　金：河南省高等教育教学改革研究与实践项目“生成式人工智能与高校经济学专业教育教学融合研究与创新实践”(2024SJGLX0381);河南省研究生教育改革与质量提升工程项目(精品在线课程项目)“产业经济学”(YJS2024ZX33);河南省研究生导师队伍建设研究中心项目“人工智能赋能研究生导师队伍建设研究”(2024YJZX12)。

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。Generative artificial intelligence(Al)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 

分 类 号：G642[文化科学—高等教育学]