Differences,Consensus and Trends in Policies on the Application of Artificial Intelligence in Education:A Comparative Analysis of China,Japan,the UK and the USA
The application of artificial intelligence(AI)in the field of education has served as a driving force for the transformation of education,with related policies acting as key indicators guiding the digitalization of education.Conducting an international comparative study on policies of AI in education can enhance a comprehensive understanding of global trends in the development of educational technology and assist policymakers in designing more forward-looking and adaptive policy frameworks.A comparative analysis of recent policy documents released by China,Japan,the United Kingdom and the United States reveals that all four countries increasingly prioritize the widespread application of AI in education.However,notable differences exist in their selection of policy instruments and the formulation of policy objectives.In terms of the overall structure of policy instruments,China demonstrates a preference for supply-side tools,emphasizing direct provision,with more efforts put into infrastructure development and talent cultivation programs.In contrast,Japan,the United Kingdom and the United States favor environment-oriented tools,focusing on fostering a supportive ecosystem.Regarding strategies for achieving policy objectives,China adopts a"focused and concentrated"approach,whereas Japan,the United Kingdom and the United States emphasize a"balanced and diversified"model.Despite these differences,the four countries share a common vision in several areas,including strengthening the cultivation mechanisms for leading talent in educational technology,establishing a guarantee system for multi-stakeholder collaboration and participation,and building a high-quality and inclusive digital education ecosystem.From a global perspective,competition for talent in the field of educational technology is expected to intensify.Countries are likely to develop agile governance frameworks,leverage AI to promote inclusive education,and continue to drive localized innovation in intelligent educational technologies through collaboration among academia,industry and research institutions.
Artificial IntelligenceApplication in EducationPolicy ComparisonPolicy InstrumentsPolicy Objectives
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NSTL
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