创新创业理论研究与实践 ›› 2022, Vol. 5 ›› Issue (7): 112-114.

• 模式探索 • 上一篇    下一篇

大数据与经济学复合型人才培养深度融合的模式研究

吴伟平, 向国成, 尹碧波, 陈银花   

  1. 湖南工商大学 经济与贸易学院,湖南长沙 410205
  • 出版日期:2022-04-10 发布日期:2022-10-31
  • 作者简介:吴伟平(1987-),男,湖南溆浦人,博士,副教授,研究方向:创新型人才培养。
  • 基金资助:
    湖南省教学改革研究项目(HNJG-2020-0641); 湖南省学位与研究生教学改革研究项目(2021JGYB186); 湖南省研究生优质课程《中级微观经济学》; 湖南工商大学学位与研究生教育教学改革研究项目(YJG2020YB07); 湖南工商大学教学改革研究项目“‘新工科+新商科’背景下经济学一流本科人才培养模式研究”

Research on the Deep Integration of Big Data and Economic Compound Talent Training

WU Weiping, XIANG Guocheng, YIN Bibo, CHEN Yinhua   

  1. School of Economy & Trade, Hunan University of Technology and Business, Changsha Hunan, 410205, China
  • Online:2022-04-10 Published:2022-10-31

摘要: 在新时代背景下,大数据与经济学复合型人才培养深度融合,有利于提升学生实践能力,培养学生创新思维,拓宽学生创业就业渠道。该文从大数据与经济学复合型人才培养深度融合的逻辑解析出发,从革新课程体系、创新教学模式、增强比赛参与度等方面解析大数据与经济学复合型人才培养深度融合的路径,最后探索大数据与经济学复合型人才培养深度融合的资金保障、师资保障和政策保障。

关键词: 大数据, 经济学, 复合型人才培养, 深度融合

Abstract: Under the background of the new era, the deep integration of big data and the cultivation of compound talents in economics is conducive to improving students' practical and innovative ability, and broadening entrepreneurship and employment channels. Starting from the logical analysis of the deep integration of big data and economics compound talent training, this paper analyzes the path of the deep integration of big data and economics compound talent training from the aspects of innovating curriculum system, innovating teaching mode and enhancing competition participation, and finally explores the capital guarantee, teacher guarantee and policy guarantee of the deep integration of big data and economics compound talent training.

Key words: Big data, Economics, Compound talent training, Deep integration

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