Abstract
This paper aims to explore the similarities and differences of artificial intelligence education policies and strategic layout in China, the United States and Mongolia. First of all, by analyzing the evolution of AI education policies in the three countries, it is found that China focuses on the combination of technology introduction and independent research and development, the United States emphasizes industry-university-research cooperation and innovation, and Mongolia focuses on infrastructure construction and teacher training. Then, the author makes a comparative analysis of the three countries' AI educational policies, and points out that the United States and China have achieved remarkable results in the promotion of educational modernization and the improvement of educational quality. Finally, on the basis of comparative analysis results, This article gives some inspiration and suggestions for developing and implementing AI educational policy in the future.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
