August 19, 2025
Beijing – Artificial intelligence is no longer a distant concept from science fiction. It has become a force that can change the nature of industry, society and human interaction. Education, the basis of social progress, is increasingly intertwined with AI. The way countries have AI skills for the next generation can determine future technological advantages. In this region, China is quietly taking the lead.
Western countries, particularly the US, have been able to get headlines for AI breakthroughs, but the approach to the K-12 (Kindergarten through 12th grade) is cautious, fragmented, and mostly pilot-driven. In contrast, China's approach is a systematic, policy-driven blueprint, raising the solid foundation of primary school-level AI literacy. All over the country, AI-themed summer camps and integrated curricula are emerging, creating a burgeoning AI education ecosystem that fosters broader cognitive skills and ethical reasoning beyond coding.
China's rapid advances in AI education are no coincidence. This is the result of careful top-level planning and coordinated action. National authorities and local governments have worked together to ensure that AI education is not just a novelty, but a structured part of the student's learning journey. Currently, schools in China include AI courses as a regular part of their curriculum. Teachers are specially trained on AI and digital learning platforms. Supports AI education in class. From bustling cities to small towns, this national push creates a well-organized framework that gives all students the opportunity to learn basic AI.
However, policies alone are not sufficient. China has established a joint mechanism that includes businesses, universities and research institutes. Integrate large tech companies to code curriculum, train teachers, and build AI learning platforms. Iflytek's AI textbook, developed in collaboration with Northwest Normal University, is currently in use nationwide and has arrived at schools and students across the country. This three-stage approach – central policy, regional implementation, broad social participation – ensures that AI education is not only conceptual but also operational.
China's AI education policy avoids cutting back on students to code machines. Instead, they incorporate AI into traditional subjects such as Chinese, art, and comprehensive practice courses to create a “discipline integration and technology empowerment” model. In many schools, ART classes incorporate AI image generation tools to encourage students to collaborate with machines. In other areas, the Generated AI is integrated into writing courses, encouraging students to criticize, edit and reimagin the AI-generated texts. AI education is just as much about reconstructing cognitive and expressive abilities as teaching technical skills.
The competition further promotes applied learning. Contests such as the National Olympiad in Informatics and the Chinese Adolescent Science and Technology Innovation Contest include AI modules, providing students with practical experiences in algorithms and machine thinking. For example, Qiuzhen College at Tsinghua University offers youth mathematics and AI summer camps, blending AI fundamentals, Python programming, mathematical modeling and ethical reflection. Such programs create a smooth transition “from classroom knowledge to real-world project practice” and move students from passive understanding to active problem solving.
China's AI education pathway is in contrast to the US education pathway. Although the US excels in AI research, K-12 implementations are decentralized, heterogeneous and rely heavily on local initiatives and partnerships with higher education institutions.
Additionally, AI education in the United States is frequently promoted through extracurricular clubs, summer camps, or online courses. Yes, it's flexible and innovative, but also inconsistent coverage, continuity and scale. In addition, growing concerns about ethics, safety and privacy can limit the classroom use of generative AI tools and create a paradox of “technical enthusiasm, educational hesitation.”
On the other hand, for China, AI literacy is the development of basic abilities similar to reading, writing and arithmetic. Students are taught to view AI not only as a set of tools, but also as a digital language and medium for critical thinking, creativity and ethical awareness. In short, while the Chinese approach is “institutionally driven, universal” and aims to develop core competence for all children, the US approach is “market-driven and selective” allowing individual interests to determine their involvement. Although both paths benefit, in a rapidly evolving AI landscape, early structured cultivation of cognitive frameworks may prove critical when it comes to fostering next-generation technical talent.
There is no perfect system. For example, some Chinese schools have narrowly focused on tools with shallow, homogenized curriculums. Teachers' expertise varies, and assessment methods to measure AI literacy levels have not yet been fully developed. The bigger challenge is to ensure that AI education does not become a new form of exam-oriented competition.
How can students learn technical skills while cultivating ethical judgment, social responsibility and humanitarian sensitivity? Some schools have already investigated AI ethics, algorithm bias, and socially impacting subjects, encouraging reflexive thinking along with technical proficiency. To be truly literal of AI, you need to gain technical understanding, collaborative ability, and value-based judgment.
China's push to integrate AI into basic education reflected a 1984 Deng Xiaoping statement, emphasizing that “computer literacy should start with children.” From top-level design to local implementation, curriculum reform to competition, and from technical training to ethical literacy, China's AI education pathway is structural and progressive.
In an age of global restructuring of education and rapid digital transformation, China is the first to reconstruct the cognitive abilities and problem-solving skills of young citizens to gain critical benefits. In this high stakes race for talent, China has made a quiet advance.
The author is a professor at the Faculty of Education, East China Normal University. Opinions do not necessarily represent Chinese views every day.
