[1]阎 琨 段梦涵 张雨颀.人工智能赋能教育的理论演进框架与趋势[J].清华大学教育研究,2025,(02):33-42.
YAN Kun DUAN Meng-han ZHANG Yu-qi.AI-Enabled Education: Framework and Trends of Theoretical Evolutions[J].TSINGHUA JOURNAL OF EDUCATION,2025,(02):33-42.
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人工智能赋能教育的理论演进框架与趋势
YAN Kun DUAN Meng-han ZHANG Yu-qi.AI-Enabled Education: Framework and Trends of Theoretical Evolutions[J].TSINGHUA JOURNAL OF EDUCATION,2025,(02):33-42.
清华大学教育研究[ISSN:1001-4519/CN:11-1610/G4]
- 卷:
- 期数:
- 2025年02期
- 页码:
- 33-42
- 栏目:
- 人工智能与教育
- 出版日期:
- 2025-04-20
文章信息/Info
- Title:
- AI-Enabled Education: Framework and Trends of Theoretical Evolutions
- 分类号:
- G434
- 文献标志码:
- A
- 摘要:
- 本文首先探讨了人工智能赋能教育的国际理论的演进框架,即人工智能赋能教育可以分为四个阶段——前人工智能教育阶段、人工智能教育的理论阶段、人工智能教育的技术阶段和人工智能教育的产业阶段的嬗变框架。在理论演进的基础上,论文提出了人工智能赋能教育呈现出的三个演进趋势:技术趋势、教育趋势和应用趋势。论文进而探讨了人工智能赋能教育在演进中所面临的挑战,即理论挑战、范式挑战以及价值观与应用挑战。
- Abstract:
- This paper explores the international theoretical evolution of AI-enabled education, proposing a framework with four developmental stages: the pre-AI education stage, the theoretical stage, the technological stage, and the industrial stage. Based on this framework, the paper identifies three key trends: technological trends, educational trends, and application trends. It further analyzes the major challenges arising in this evolutionary process, including theoretical challenges, paradigm challenges, and challenges related to values and applications.
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