Beijing Municipality Blue Book on AI-Empowered Basic Education Applications (2026) Released: Covering Six Typical Scenarios and Pilot Applications

At present, artificial intelligence technology is developing rapidly and is gradually integrating into all aspects of education and teaching, driving the digital transformation of basic education toward quality improvement and intelligent upgrading. As the application of AI in education continues to deepen, how to improve application effectiveness and promote the deep integration of technology with the laws of education has become an important issue in promoting the high-quality development of basic education.

To implement the national strategic deployment on deepening the "AI+" initiative and the relevant requirements of the "AI+Education" Action Plan, under the guidance of the Beijing Municipal Education Commission, the Engineering Research Center of the Ministry of Education for Intelligent Technology and Educational Application at Beijing Normal University and the Beijing Digital Education Center (Beijing Audio-Visual Education Center) jointly compiled the "Blue Book on AI-Empowered Basic Education Applications in Beijing (2026)." On October 29, 2026, the blue book was officially released at the 2026 Beijing Primary and Secondary Schools AI-Empowered Education Practice and Innovation Seminar. Wu Yaxing, Director of the Informatization Division of the Beijing Municipal Education Commission, attended the meeting and delivered a speech, and Huang Hua, Dean of the School of Artificial Intelligence at Beijing Normal University and Director of the Engineering Research Center, gave a special interpretation of the blue book.

Building on the 2025 edition's review of application scenarios and summary of typical cases, the 2026 edition of the blue book further deepens the research content and strengthens empirical analysis and development assessment. Supported by special surveys in Beijing, analysis of typical cases, technology evaluation results, and recommendation information from the AI Application Supermarket, the blue book systematically reviews the progress of AI-empowered basic education applications, analyzes the application effectiveness and development characteristics of typical scenarios, assesses leading application directions, and explores implementation paths for deepening applications, providing reference for education management decision-making, school application practices, and industrial innovation and development.

Based on Beijing's practice, it systematically reviews the current application status. In September 2026, the blue book conducted surveys in a total of 18 education departments across Beijing's 16 districts, the Yanshan area, and the Beijing Economic-Technological Development Area, as well as 106 primary and secondary schools with regional representativeness and different school-running characteristics. The survey shows that Beijing's educational AI applications have initially formed a construction pattern of municipal coordination, district-level advancement, and school-level implementation, with continuous progress in policy support, scenario expansion, and AI general education.

Focusing on typical scenarios, it distills practical experience. Centering on six typical scenarios—instructional design, language learning, homework management, physical and health education, intelligent Q&A, and intelligent teaching research—the blue book analyzes the application models and practical results of AI in teaching implementation, learning support, and teaching research improvement; at the same time, it focuses on leading scenarios such as interdisciplinary thematic learning, subject-specific intelligent agents, and project-based learning oriented to real problems, showcasing innovative explorations of AI empowering basic education.

Combining technology evaluations, it assesses application capabilities and development directions. Drawing on relevant results from the "Polaris" basic education large model evaluation platform, the blue book analyzes the capability performance and applicable boundaries of models in educational scenarios. At the same time, it further analyzes issues facing AI applications such as human-machine collaboration, scenario adaptation, data governance, and educational equity, and puts forward implementation suggestions in areas including teacher literacy, product selection, data connectivity, and security governance.

It systematically presents the practical progress and development trends of AI applications in Beijing's basic education, distills application experience from typical scenarios, provides reference for education management departments' scientific decision-making, schools' optimization of application practices, and industry entities' improvement of product supply, and promotes the continuous deepening of educational AI applications. Blue book download

On the WeChat public account "Smart City Industry Analysis," reply in the background with "AI empowering basic education" or the full report title "Blue Book on AI-Empowered Basic Education Applications in Beijing (2026)" to obtain the report address.

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