创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (3): 132-134.

• 模式探索 • 上一篇    下一篇

生成式人工智能赋能高等教育的价值意蕴与实践路径探索

黄婕   

  1. 仲恺农业工程学院,广东广州 510550
  • 出版日期:2025-02-10 发布日期:2025-03-31
  • 作者简介:黄婕(1994—),女,湖南永州人,硕士研究生,讲师,研究方向:思想政治教育。
  • 基金资助:
    2024年度教育部人文社会科学研究专项任务项目(高校辅导员研究)“生成式人工智能赋能思想政治教育的内在机制与实践路径研究”(24JDSZ3043);2024年教育部高校思想政治工作队伍培训研修中心(北京师范大学)一般课题成果“生成式人工智能赋能思想政治教育工作的模型构建与实践理路研究”(BNUSZPXZX24YB08)

Exploring the Value and Practice Path of Empowering Higher Education with Generative Artificial Intelligence

HUANG Jie   

  1. Zhongkai University of Agriculture and Engineering, Guangzhou Guangdong, 510550, China
  • Online:2025-02-10 Published:2025-03-31

摘要: 生成式人工智能作为一类能够基于大量数据生成全新内容的人工智能系统,正逐渐渗透到教学、学习、科研和管理等多个方面,改变着传统的教育模式。该文探讨其在提升教育质量、促进知识传播等方面的内在价值,并提出以生成式人工智能赋能高等教育切实可行的实践路径,以期为高等教育领域的研究者和实践者提供参考和启示。

关键词: 生成式人工智能, 高等教育, 智能化教学, 大数据分析, 价值意蕴, 实践路径

Abstract: Generative artificial intelligence, as a type of artificial intelligence system that can generate new content based on a large amount of data, is gradually penetrating into various aspects such as teaching, learning, scientific research, and management, bringing changes to traditional education models. This article explores its inherent value in improving education quality and promoting knowledge dissemination, and proposes a practical path to empower higher education with generative artificial intelligence, in order to provide reference and inspiration for researchers and practitioners in the field of higher education.

Key words: Generative artificial intelligence, Higher education, Intelligent teaching, Big data analysis, Value implications, Practical path

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