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U.S. and China lead in AI adoption for education, but challenges like teacher training and privacy concerns persist.
AI's integration into university education is still limited, with varying adoption rates across regions.
While AI tools are used for personalized learning and administrative tasks, challenges include a lack of teacher training and unclear data privacy policies.
Europe is lagging behind, while the U.S. and China are leading in AI-based educational technology.
A new framework aims to guide schools in responsibly integrating AI, emphasizing human-centered approaches and continuous evaluation.
California is also pushing ahead with AI training programs for students, though concerns about maintaining academic standards persist.
Estados Unidos y China lideran la adopción de IA para la educación, pero persisten desafíos como la capacitación de maestros y las preocupaciones sobre la privacidad.