China's AI Boom: Artificial Intelligence Included in Teacher Certification Exams
The Chinese government launched the 'AI + Education' action plan, integrating AI into K-12 and university curricula, and adding AI components to teacher certification exams to boost national productivity.
📋 Article Processing Timeline
- 📰 Published: April 10, 2026 at 15:43
- 🔍 Collected: April 10, 2026 at 16:00 (17 min after Published)
- 🤖 AI Analyzed: April 20, 2026 at 06:35 (230h 35m after Collected)
Zhou Dawang, Director of the Department of Science, Technology and Informatization of the Chinese Ministry of Education, stated at a press conference this morning that artificial intelligence has become a strategic technology leading the new round of scientific and technological revolution and industrial transformation. It is pushing productivity leaps at an unprecedented speed, reshaping relations of production, and putting forward entirely new demands on the capability structure of the workforce.
Zhou emphasized that in the era of AI, "what kind of people to cultivate and how to cultivate them" is a major proposition. The "AI + Education" action plan fully absorbs local practical experiences and proposes an overall approach, including being education-centric, literacy-first, application-oriented, and guiding AI towards good.
China's Ministry of Education, the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and the National Data Administration recently jointly issued the "AI + Education" action plan.
According to a report by The Paper on the 10th, this action plan is deployed across four key areas.
In terms of "Promoting AI Talent Cultivation and Literacy Enhancement," the plan proposes accelerating the popularization of AI education among primary and secondary school students and supporting schools in rural and remote areas to offer AI courses using national platforms. It promotes AI as a common basic course in universities and optimizes traditional disciplinary professional talent cultivation programs.
AI will be incorporated into the "Double Thousand" plan for enhancing the employability of college students (1,000 micro-specialty courses, 1,000 vocational ability training courses) to assist with employment. It also plans to establish teacher competency standards, incorporate AI into teacher certification exams and credentials, and set up AI education projects in national and provincial teaching achievement awards.
In terms of "Promoting Deep and Broad Integration of AI and Education," the action plan emphasizes utilizing AI to empower student learning and empower teachers' teaching and educational governance. It aims to build an intelligent employment service system to achieve smart recommendations for college students' job posts, promoting full employment for university graduates.
In terms of "Strengthening the Basic Environment for AI + Education," the plan requires the construction of a national educational intelligent computing power service platform. It will establish a collaborative mechanism connecting higher education institutions and primary/secondary schools to jointly develop AI curricula and AI applications.
In terms of "Optimizing the Development Ecosystem of AI + Education," the action plan mentions continuing to carry out AI social experiments and deepening research on AI ethics. It encourages educational institutions, enterprises, and research units to focus on formulating standard norms for AI applications in the education industry, large model evaluations, and data security. (Editor: Chen Kai-yu) 1150410
Zhou emphasized that in the era of AI, "what kind of people to cultivate and how to cultivate them" is a major proposition. The "AI + Education" action plan fully absorbs local practical experiences and proposes an overall approach, including being education-centric, literacy-first, application-oriented, and guiding AI towards good.
China's Ministry of Education, the National Development and Reform Commission, the Ministry of Science and Technology, the Ministry of Industry and Information Technology, and the National Data Administration recently jointly issued the "AI + Education" action plan.
According to a report by The Paper on the 10th, this action plan is deployed across four key areas.
In terms of "Promoting AI Talent Cultivation and Literacy Enhancement," the plan proposes accelerating the popularization of AI education among primary and secondary school students and supporting schools in rural and remote areas to offer AI courses using national platforms. It promotes AI as a common basic course in universities and optimizes traditional disciplinary professional talent cultivation programs.
AI will be incorporated into the "Double Thousand" plan for enhancing the employability of college students (1,000 micro-specialty courses, 1,000 vocational ability training courses) to assist with employment. It also plans to establish teacher competency standards, incorporate AI into teacher certification exams and credentials, and set up AI education projects in national and provincial teaching achievement awards.
In terms of "Promoting Deep and Broad Integration of AI and Education," the action plan emphasizes utilizing AI to empower student learning and empower teachers' teaching and educational governance. It aims to build an intelligent employment service system to achieve smart recommendations for college students' job posts, promoting full employment for university graduates.
In terms of "Strengthening the Basic Environment for AI + Education," the plan requires the construction of a national educational intelligent computing power service platform. It will establish a collaborative mechanism connecting higher education institutions and primary/secondary schools to jointly develop AI curricula and AI applications.
In terms of "Optimizing the Development Ecosystem of AI + Education," the action plan mentions continuing to carry out AI social experiments and deepening research on AI ethics. It encourages educational institutions, enterprises, and research units to focus on formulating standard norms for AI applications in the education industry, large model evaluations, and data security. (Editor: Chen Kai-yu) 1150410