[1]张 羽.人工智能时代的一流教育学科建设[J].清华大学教育研究,2025,(04):38-44.
ZHANG Yu.Building First-Class Education Disciplines in the Artificial Intelligence Era[J].TSINGHUA JOURNAL OF EDUCATION,2025,(04):38-44.
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人工智能时代的一流教育学科建设
ZHANG Yu.Building First-Class Education Disciplines in the Artificial Intelligence Era[J].TSINGHUA JOURNAL OF EDUCATION,2025,(04):38-44.
清华大学教育研究[ISSN:1001-4519/CN:11-1610/G4]
- 卷:
- 期数:
- 2025年04期
- 页码:
- 38-44
- 栏目:
- 教育改革与发展
- 出版日期:
- 2025-08-20
文章信息/Info
- Title:
- Building First-Class Education Disciplines in the Artificial Intelligence Era
- Keywords:
- artificial intelligence; education discipline development; research paradigm innovation; independent knowledge system; individualized instruction
- 分类号:
- G434
- 文献标志码:
- A
- 摘要:
- 人工智能时代为一流教育学科建设带来了新的机遇与挑战。当前教育学科在人才培养、科学研究、社会服务和国际影响力等方面面临多重挑战,而人工智能技术则赋能教育学科发展和创新的可能性。在推动教育学科研究创新方面,人工智能赋能教育创新正是中国教育学回应时代之问、国家之需、世界之势的重要领域,是构建中国自主知识体系的重要契机。在培养一流教育人才方面,人工智能时代特别需要培养具有教育家精神的学者以及学者型校长和教师。人工智能技术为新课程形态和学习范式提供可能。科研和人才培养成果将更加有效支撑社会服务和国际交流合作。实现这一转型需坚持立德树人基本原则,深化跨学科协同创新机制,改革学术评价体系,并强化组织和资源保障。
- Abstract:
- The era of artificial intelligence presents both new opportunities and challenges for the development of first-class disciplines in education. This paper explores the potential of AI technologies to empower the advancement of the education discipline, in light of current challenges in talent cultivation, scientific research, social service, and international influence. In promoting innovation in educational research, AI-empowered educational transformation represents a vital response by Chinese education scholars to the call of the times, national needs, and global trends. It also constitutes a pivotal opportunity to construct China’s independent knowledge system. In terms of talent cultivation, the AI era calls for the development of scholar-educators and educator-scholars. AI technologies create possibilities for new curriculum structures and learning paradigms. As a result, outcomes in research and talent development will more effectively support social services and international collaboration. Achieving this transformation requires adherence to the fundamental principle of fostering moral integrity, deepening mechanisms for interdisciplinary collaboration and innovation, reforming academic evaluation systems, and strengthening organizational and resource support.
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