创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (8): 153-155.

• 创新方法 • 上一篇    下一篇

AI赋能下产业经济学课程产教融合教学建设的探索

郭正权, 陶晓波   

  1. 北方工业大学,北京 100144
  • 出版日期:2025-04-25 发布日期:2025-05-30
  • 作者简介:郭正权(1979—),男,山西大同人,博士研究生,教授,研究方向:能源经济与环境管理。
  • 基金资助:
    教育部首批新文科研究与改革实践项目“新文科背景下经管类专业创新创业基地建设研究”(2021120002); 北京市教委重点教改项目“服务区域经济发展的人才培养模式研究”; 北方工业大学课程建设专项“AI赋能产业经济学课程产教融合的实践与建设”

Exploration of the Teaching Construction of the Integration of Industry and Education under Industrial Economics Enabled by Artificial Intelligence

GUO Zhengquan, TAO Xiaobo   

  1. North China University of Technology, Beijing, 100144, China
  • Online:2025-04-25 Published:2025-05-30

摘要: AI(人工智能)的快速发展对教育教学提出了新要求,经济高质量发展对通过产教融合培养高水平复合型人才提出了新要求。该文分析了传统产业经济学课程教学的现状及存在的问题,提出了AI赋能下实现高质量产教融合教学的具体路径,包括优化课程教学目标、重构课程知识体系、创新教学模式与方法、优化校企协同机制、强化AI场景教学赋能、完善课程评价体系,以期培养具备创新创业实践能力的复合型经济学人才。

关键词: 产业经济学, AI赋能, 产教融合, 课程, 教学, 建设路径

Abstract: The rapid development of AI (artificial intelligence) has put forward new requirements for education and teaching, and the high-quality economic development has put forward new requirements for cultivating high-level compound talents through the integration of production and education. This paper analyzes the current situation and existing problems of traditional industrial economics course teaching, and puts forward specific paths to achieve high-quality production-teaching integration under AI empowerment, including optimizing course teaching objectives, restructuring course knowledge system, innovating teaching models and methods, optimizing school-enterprise collaboration mechanism, strengthening AI scenario teaching empowerment, and improving course evaluation system. In order to cultivate compound economic talents with innovation and entrepreneurship practice ability.

Key words: Industrial economics, AI empowerment, Integration of production and education, Courses, Teaching, Construction path

中图分类号: