en.Wedoany.com Reported - On June 29, the State Council issued the "15th Five-Year Plan for Educational Development," outlining measures to accelerate the construction of an educational powerhouse during the 15th Five-Year Plan period. The plan proposes to enhance students' competency and literacy, deeply implement quality education, improve the science education system, strengthen the cultivation of scientific literacy, critical thinking, and innovation capabilities among young people, and reinforce the synergy between science and technology education and humanities education. The plan also specifies advancing artificial intelligence education across all academic levels, enhancing students' AI literacy, and strengthening their ability to pose and solve problems. Consequently, AI education has entered the five-year planning framework for building an educational powerhouse, impacting basic education, vocational education, and higher education systems in terms of curricula, teachers, resource platforms, campus scenarios, and student competency assessment.
AI education across all academic levels will focus on developing students' competency and literacy, with an emphasis on cultivating their abilities to understand intelligent technologies, use intelligent tools, assess technological risks, and solve real-world problems. Together with science education, information technology education, and humanities education, it constitutes the foundational capacity building for the intelligent era.
From the perspective of school implementation, AI education needs to be tailored to different academic stages. At the primary school level, it is more suitable to introduce AI fundamentals, allowing students to understand the basic forms of intelligent technologies through common applications such as speech recognition, image recognition, intelligent recommendations, and robotics. At the junior and senior high school levels, elements such as data, algorithms, models, programming, ethics, and interdisciplinary projects can be incorporated, enabling students to learn how to observe, question, model, and verify in real-world contexts. At the vocational and higher education levels, it needs to align with industrial demands, cultivating applied and interdisciplinary talents in fields such as intelligent manufacturing, smart transportation, healthcare, modern agriculture, industrial software, robotics, and digital services. This tiered approach helps shift AI education from interest expansion and competition training to the cultivation of general competencies for all students.
This deployment will drive simultaneous adjustments in textbooks, teachers, and teaching platforms. Implementing AI courses requires a resource system that supports teaching, practice, and assessment, as well as teachers who understand the fundamentals of AI and the boundaries of its classroom application.
Teacher capacity building will become a critical link. AI education cannot remain at the level of tool demonstrations and software operations; it must also incorporate data awareness, scientific thinking, engineering practice, and technological ethics into the classroom. Schools need to help teachers integrate AI content into science, information technology, mathematics, labor education, comprehensive practice, and humanities courses through teacher training, teaching research communities, demonstration courses, and project-based learning cases. During the learning process, students should not only be exposed to intelligent tools but also undergo the complete process of posing questions, breaking down tasks, seeking data, designing solutions, verifying results, and reflecting on risks. This process determines whether AI education can truly enhance students' abilities, rather than becoming another formalized course.
From the perspective of digital education development, AI education across all academic levels will also drive the advancement of smart classrooms, AI experiment platforms, digital textbooks, teaching large models, virtual experiments, and educational assessment systems. Schools need to provide age-appropriate practical environments for students, allowing them to engage with AI applications under safe, controllable, and compliant conditions. Education management authorities also need to focus on data security, minor protection, algorithm transparency, boundaries of homework assistance, and educational equity. Significant disparities in digital infrastructure exist between different regions and schools; without inclusive courses, shared platforms, and teacher training, AI education resources may continue to concentrate in cities and key schools. By incorporating AI education across all academic levels into student competency and literacy building, the plan's subsequent implementation requires support from national platforms, local supporting measures, school curricula, and teacher systems.
This plan also aligns with the previous "AI + Education Action Plan." That action plan proposed that by 2030, a pattern of deep integration between AI and education would be largely formed, establishing a vertically coherent and horizontally connected AI education system across all academic levels and a universal AI literacy system for the whole society. Relevant interpretations from the Ministry of Education also mentioned advancing AI education across all academic levels and universal AI literacy for the whole society to cultivate high-quality talent. The current "15th Five-Year Plan for Educational Development" reaffirms the direction of AI education across all academic levels, indicating that AI literacy cultivation will transition from special actions to more systematic educational development arrangements. Subsequent focus will fall on curriculum standards, textbook development, teacher training, teaching resource platforms, and student competency assessment.
For industry and social development, the impact of AI education across all academic levels will gradually spill over into talent supply. Future students, whether entering manufacturing, energy, transportation, healthcare, finance, agriculture, education, or cultural and creative industries, will face intelligent tools, automated systems, and data-driven workflows. The problem awareness, data awareness, scientific thinking, and technological ethics consciousness developed during their school years will influence their learning abilities and technological adaptability upon entering industries. By incorporating AI literacy into the "15th Five-Year Plan" educational development deployment, the State Council indicates that AI education has moved from localized pilot projects to foundational capacity building. The subsequent effectiveness will depend on whether various regions can truly integrate curricula, teachers, platforms, assessment, and security governance.
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