Group 1 - The emergence of AI in education has sparked discussions on how it should be integrated into classrooms, with concerns about its impact on students' learning abilities and classroom dynamics [1][2] - The introduction of AI-related courses in general education marks a shift from being an extracurricular novelty to a regular part of the educational curriculum [1][2] - Different regions are adopting various approaches to AI education, with some integrating it into formal curricula while others use lectures and activity weeks to introduce the concept [1][2][3] Group 2 - As of September 2025, Beijing has become the first city to implement AI general education across all primary and secondary schools, reaching over 1.83 million students with a minimum of 8 class hours per year [2][3] - Following Beijing, Shanghai plans to introduce a mandatory AI course for fourth and seventh graders, with a structured curriculum that includes 30 class hours annually [2][3] - Other cities like Hangzhou, Shenzhen, and Tianjin are also launching their own AI curricula, with varying focuses on practical application, ethical considerations, and integration with local culture [3][4] Group 3 - A common framework across regions includes a minimum of 8 to 10 class hours per year, with a progressive learning structure from elementary to high school [4][5] - Teacher training and resource development are recognized as critical components for the successful implementation of AI education, with various initiatives launched to address these needs [4][5] - There are distinct differences in the depth of institutionalization of AI courses, with some regions embedding them into local educational frameworks while others focus on experiential learning [4][5] Group 4 - The national landscape is forming three main models for AI education: comprehensive coverage (e.g., Beijing, Shanghai), localized exploration (e.g., Yunnan, Chengdu), and transitional approaches (e.g., Xi'an, Wenzhou) [5][6] - The importance of AI general education lies in its potential to reshape core competencies, promote educational equity, and enhance future competitiveness in the job market [7][8] - The integration of AI education is supported by both top-down policy frameworks and bottom-up resource ecosystems, indicating a collaborative effort to enhance AI literacy [9][10]