创新创业理论研究与实践 ›› 2026, Vol. 9 ›› Issue (5): 13-15.

• 理论研究 • 上一篇    下一篇

数字新质生产力赋能高校大数据专业人才培养路径研究

夏洪波   

  1. 长春大学旅游学院,吉林长春 130607
  • 出版日期:2026-03-10 发布日期:2026-07-01
  • 作者简介:夏洪波(1979—),女,吉林公主岭人,硕士研究生,讲师,研究方向:计算机网络、法学。
  • 基金资助:
    2024年吉林省职业教育科研课题“数字新质生产力赋能高校大数据专业人才培养路径研究”(2024XHZ011)

Research on the Path of Talent Cultivation for Big Data Majors in Universities Empowered by Digital New Quality Productivity

XIA Hongbo   

  1. The Tourism College of Changchun University, Changchun Jilin, 130607, China
  • Online:2026-03-10 Published:2026-07-01

摘要: 数字新质生产力的发展,对大数据专业人才的创新能力提出更高要求。大数据技术是新时代高校教育数字化的一项技术指标,数字技术的广泛应用带来了生产力的变革,数字新质生产力能够推动新时代新型高校人才的创新发展,赋能高等教育高质量发展。该文探讨数字新质生产力赋能高校大数据专业人才培养的路径,期望构建多元化的创新型人才培养路径,优化教育教学方案,提升教育质量。

关键词: 数字新质生产力, 人才培养, 大数据, 人机协同, 数字素养, 智能课堂

Abstract: The development of digital new quality productivity has put forward higher requirements for the innovation ability of big data professionals. Big data technology is a technical indicator of the digitalization of higher education in the new era. The widespread application of digital technology has brought about changes in productivity, and digital high-quality productivity can promote the innovative development of new talents in universities in the new era, empowering high-quality development of higher education. This article explores the path of empowering big data professionals in universities with digital new quality productivity, aiming to build a diversified and innovative talent training path, optimize education and teaching plans, and improve the quality of education.

Key words: Digital new quality productivity, Talent cultivation, Big data, Human-machine collaboration, Digital literacy, Intelligent classroom

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