【摘要】 人工智能发展背景下经济学复合型人才的需求空缺对地方院校经济学人才培养模式改进提出了迫切的要求。通过问卷调查发现，当前地方院校经济学人才培养模式仍存在人才培养目标不够前瞻、课程设置与实际需求脱节、教学方法传统且单一、师资力量相对薄弱等问题。为培养适应社会发展需要的经济学复合型人才，地方院校必须构建前瞻性经济学人才培养目标，融入人工智能核心课程内容，强化融合大数据技术与行业合作的实践教学，提升经济学教师人工智能教学能力。这不仅能够满足当前经济发展的需求，而且可以为未来的经济和技术变革作准备。更多还原

【Abstract】 Under the background of artificial intelligence(AI) development, the demand gap for interdisciplinary economics talents poses an urgent requirement for local universities to improve their economics talent cultivation model. Questionnaire surveys reveal that current model in local universities still suffer from several problems: insufficiently forward-looking talent cultivation objectives, a disconnect between curriculum design and practical needs, traditional and monotonous teaching methods, and relatively weak faculty capabilities. To cultivate interdisciplinary economics talents that meet the needs of societal development, local universities must construct forward-looking talent cultivation objectives, integrate core AI-related course content, improve practical teaching that merges big data technology with industry collaboration, and enhance economics faculty’s AI teaching capabilities. This approach not only satisfies current economic development demands but also prepares for future economic and technological changes.更多还原