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清华大学教育研究[ISSN:1001-4519/CN:11-1610/G4]

卷:

期数:

2024年03期

页码:

1-12

栏目:

OA栏目

出版日期:

2024-06-20

文章信息/Info

Title:

The Challenges and Approaches of AIGC in Facilitating Educational Innovation

作者:

刘三女牙^{1 2} 郝晓晗²

1.华中师范大学 人工智能教育学部;2.华中师范大学 教育大数据应用技术国家工程研究中心

Author(s):

LIU San-nyu-ya^{1 2} HAO Xiao-han²

1.Faculty of Artificial Intelligence in Education, Central China Normal University; 2.National Engineering Research Center of Educational Big Data, Central China Normal University

关键词:

AIGC; 教育大模型; 人智协同; 未来教育

Keywords:

AIGC;  educational big models;  Human-AI collaboration;  future education

分类号:

G434

文献标志码:

A

摘要:

生成式人工智能的出现将人类带入生成式人工智能时代,成为教育者认识、改造教育世界的重要伙伴,有望助力教育改革创新,推动教育事业发展。本文首先探讨了以生成式人工智能为代表的人工智能作为新知识、新动能之于教育的重要意义。其次,阐明了生成式人工智能助力教育创新面临的现实挑战,包括教育本质的新思考、人智协同的新图景、教育基础设施的新要求、教育伦理的新风险、教育公平的新鸿沟。最后,从“培养什么人”和“如何培养人”两方面,对生成式人工智能助力教育创新的未来进路提出了启示。

Abstract:

The emergence of AIGC has brought humanity into the era of generative artificial intelligence. AIGC has become an important partner for educators to understand and reshape the educational landscape, which is expected to bolster education reform, innovation and the overall advancement of the education sector. Firstly, this paper discusses the significance of AI, represented by AIGC, as new knowledge and new power for education. Secondly, it expounds the practical challenges that AIGC faces in educational innovation, including new thinking on the nature of education, new prospects of Human-AI collaboration, new requirements for educational infrastructure, new risks in educational ethics and new gaps in educational equity. Finally, it puts forward the future approaches of AIGC in facilitating educational innovation from the two aspects of what kind of people we should cultivate and how.

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更新日期/Last Update: 2024-06-20