Core Insights - The 2026 National Education Work Conference outlined key initiatives for educational reform and development, emphasizing the construction of healthy schools and the promotion of artificial intelligence (AI) education across all school stages [1] Group 1: Population Changes and Educational Resource Allocation - The conference highlighted the need to better respond to changes in school-age population and optimize the layout of basic education resources, as the scale and distribution of school-age population are undergoing significant changes [2] - The Ministry of Education predicts that the population of eligible high school students will continue to grow, reaching a peak by 2029, which presents challenges for the development of ordinary high schools [2][3] Group 2: Regional Initiatives for Educational Resource Expansion - Various provinces are actively implementing measures to expand and optimize educational resources in response to the upcoming peak in high school enrollment, with Guangdong planning to add 200,000 ordinary high school seats by 2026 [4] - Hubei and other regions are also increasing the number of quality high school seats, with Wuhan planning to add 8,000 more seats in addition to previous expansions [4] Group 3: Health School Construction - The conference emphasized the importance of promoting healthy school construction to support students' physical and mental health, aligning with the "health first" educational philosophy [5] - Various regions are implementing innovative practices to promote health in schools, such as sports skill programs and partnerships with local sports clubs to enhance physical education [5][6] Group 4: AI Education Promotion - The conference called for the solid advancement of AI-enabled education and the acceleration of AI literacy across all educational stages, aiming to create a cohesive educational system [7] - Several provinces, including Jiangsu and Guizhou, have introduced action plans to integrate AI into education, focusing on developing AI teaching models and resources [8][9]