创新创业理论研究与实践 ›› 2025, Vol. 8 ›› Issue (21): 75-77.

• 教育改革与发展 • 上一篇    下一篇

生成式人工智能赋能教育数字化转型研究

刘啸1, 邓海生2   

  1. 1.上海财经大学浙江学院,浙江金华 321015;
    2.西京学院,陕西西安 710123
  • 出版日期:2025-11-10 发布日期:2026-05-14
  • 作者简介:刘啸(1985—),男,浙江武义人,硕士研究生,副教授,研究方向:人工智能应用、教育信息技术、创新创业教育。
  • 基金资助:
    浙江省教育科学规划课题“生成式人工智能赋能教育数字化转型路径探究”(2024SCG152);陕西省“十四五”教育科学规划课题“大学生数据素养评价体系理论及实证研究”(SGH23Y2927)

Opportunities and Challenges of Generative Artificial Intelligence Enabling Digital Transformation in Education

LIU Xiao1, DENG Haisheng2   

  1. 1. Shanghai University of Finance and Economics Zhejiang College, Jinhua Zhejiang, 321015, China;
    2. Xijing University, Xi'an Shaanxi, 710123, China
  • Online:2025-11-10 Published:2026-05-14

摘要: 在国家政策支持下,生成式人工智能技术在教育领域的应用备受关注。该文系统探讨其赋能教育数字化转型的机遇与挑战,通过分析其技术特性及在“教、学、评、辅”4个环节的应用场景,揭示其在提升教学质量、促进个性化学习、优化教育管理等方面的潜力,同时,提出强化技术基建、完善政策资源保障等策略,推动生成式人工智能与高等教育深度融合,实现教育高质量发展。

关键词: 生成式人工智能, 教育数字化转型, 应用场景, 技术保障, 监管策略, 高等教育

Abstract: With the support of national policies, the application of generative artificial intelligence technology in the field of education has attracted much attention. This article systematically explores the opportunities and challenges it brings to the digital transformation of education. By analyzing its technical characteristics and application scenarios in the four links of “teaching, learning, assessment, and assistance” , it reveals its potential in improving teaching quality, promoting personalized learning, and optimizing educational management. Meanwhile, it proposes strategies such as strengthening technical infrastructure and improving policy resource guarantees. Promote the in-depth integration of generative artificial intelligence and higher education to achieve high-quality development of education.

Key words: Generative artificial intelligence, Digital transformation of education, Application scenarios, Technological support, Regulatory strategy, Higher education

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