【作 者】：
杨现民， 卜浩德， 李 新， 宋苏轩， 刘婷玉
【关 键 词 】：
人工智能； 教育变革； 教育人工智能； 智能教育； 人工智能教育应用
【栏 目】：
历史与国际比较
【中文摘要】：
人工智能是全球科技竞争的战略制高点，正驱动整个教育系统发生重大变革。立足全球视角洞察人工智能与教育深度融合的挑战、策略与趋势，具有重要现实意义。研究选取北美洲、欧洲、亚洲、大洋洲等地区的部分代表性国家以及有影响力的国际组织发布的20份教育人工智能权威报告作为样本，通过文本分析发现：首先，全球人工智能与教育深度融合主要面临技术、伦理、主体、机制及成效五方面挑战。其次，加速人工智能与教育深度融合的关键策略包括：建立政产学研用联合体，打造多元治理体系；构建多维人工智能素养培养体系，提升师生人工智能应用能力；坚持需求与规律并重，持续构建智能教育产品生态；细化人工智能教育应用场景，开展成效评估研究；强化资源供给与支持服务，夯实人工智能教育应用的支撑能力。最后，人工智能与教育深度融合呈现五大趋势：教育、智能科技与人才一体化发展；坚持以师生为本的基本理念；教育应用走向包容化和无障碍；人工智能与教育主体互惠成长；人工智能教育应用的安全与发展日趋平衡。
【英文摘要】：
Artificial Intelligence (AI) stands as a strategic high point in global technological competition, driving profound transformations across the entire education system. It is of great practical significance to gain insight into the challenges, strategies and trends of the deep integration of AI and education from a global perspective. The study selects 20 authoritative reports on AI in education, which were released by representative countries in North America, Europe, Asia, Oceania and other regions, as well as influential international organizations, as samples. Through text analysis, it is found that: Firstly, the global deep integration of AI and education primarily faces five challenges of technology, ethics, subjects, mechanisms, and effectiveness. Secondly, The key strategies to accelerate this deep integration include: establishing a consortium involving government, industry, academia, research, and application sectors to create a diversified governance system; constructing a multidimensional AI literacy cultivation system to enhance teachers' and students' AI application capabilities; adhering to a balance between demand and laws to continuously develop an ecosystem of intelligent educational products; refining AI application scenarios in education and carrying out effectiveness assessment research; strengthening resource supply and support services to consolidate the support capacity of AI education application. Finally, The deep integration of AI and education exhibits five major trends: the integrated development of education, intelligent technology and talents; adherence to the basic philosophy of prioritizing teachers and students; the shift of educational applications toward inclusiveness and accessibility; reciprocal growth between AI and educational subjects; and the growing balance between the safety and development of AI applications in education.