美国和中国在采用人工智能教育方面领先,但诸如教师培训和隐私问题等挑战依然存在。 U.S. and China lead in AI adoption for education, but challenges like teacher training and privacy concerns persist.

人工智能在大学教育中的整合仍然有限,不同地区的采用率各不相同. AI's integration into university education is still limited, with varying adoption rates across regions. 虽然AI工具用于个性化学习和行政任务,但挑战包括缺乏教师培训和数据隐私政策不明确。 While AI tools are used for personalized learning and administrative tasks, challenges include a lack of teacher training and unclear data privacy policies. 欧洲落后,而美国和中国在以AI为基础的教育技术方面走在前列。 Europe is lagging behind, while the U.S. and China are leading in AI-based educational technology. 一个新的框架旨在指导学校负责任地整合人工智能,强调以人为中心的方法和持续评估. A new framework aims to guide schools in responsibly integrating AI, emphasizing human-centered approaches and continuous evaluation. 加利福尼亚州还在推进针对学生的AI培训方案,尽管对保持学术标准的关切依然存在。 California is also pushing ahead with AI training programs for students, though concerns about maintaining academic standards persist.