I spent ten days reading the book, and along the way compared and cross-checked parts of it against the Ministry of Education's Guidelines for AI General Education in Primary and Secondary Schools (2025 Edition) and the Beijing Local Curriculum Outline for AI Education in Primary and Secondary Schools (Trial, 2025 Edition). The book's solid expertise and depth of insight left a very deep impression on me. Unlike most similar books on the market, which lean toward technical explanation or vague ideas, in my view this book stays anchored throughout on cognitive autonomy as its core, and holds fast to the fundamental educational goal of "developing people's capacity for independent cognition", without falling into the trap of technology first. As a subject teaching researcher working at the frontline primary level, I gained a great deal from it in both thinking and practice. My main impressions are set out below.
1. Deep Agreement with Cognitive Autonomy as the Core Goal
The Ministry of Education's Guidelines for AI General Education in Primary and Secondary Schools (2025 Edition) define the primary stage as "cultivating interest and basic understanding", while the Beijing Local Curriculum Outline for AI Education in Primary and Secondary Schools (Trial, 2025 Edition) emphasizes "perceiving the far-reaching impact of AI technology on learning and life". These statements point the direction, but the concept of cognitive autonomy proposed in this book gives these goals a solid philosophical foundation and a clear profile of the capacities involved.
The document points out that the core challenges of an intelligent society are "a fundamental change in the cognitive environment" and the risk of "cognitive outsourcing". Establishing cognitive autonomy as the mission of general education for our time means that "cultivating interest" at the primary stage no longer stays at the level of "fun" or "experience", but rises to foundational work in raising "citizens who can regulate belief, evidence, trust, judgment, and responsibility". This gave me a higher vantage point on the value of AI general education courses in primary school — we are not teaching technical operations, we are safeguarding children's future "cognitive sovereignty" in an intelligent society.
2. Aligned with the Requirements for the Primary Stage, with Concrete Deepening and Support
The Ministry of Education's Guidelines for AI General Education in Primary and Secondary Schools (2025 Edition) set out an integrated requirement of "cognition, skills, thinking, and values" for the primary stage. The Beijing Local Curriculum Outline for AI Education in Primary and Secondary Schools (Trial, 2025 Edition) also makes clear that primary schools should spark curiosity through experiential courses. The book's four-capacity model of induction, generalization, judgment, and self-awareness can be aligned with the training goals the two guiding documents set for the primary stage.
The Ministry of Education's Guidelines for AI General Education in Primary and Secondary Schools (2025 Edition) emphasize "spiral curriculum design". The book's "five-part content system" (basic concepts, methods, applications, cross-disciplinary integration, and risk and ethics) and its structure of "five content areas horizontally, three progressive stages vertically" offer a systematic reference for "what to teach and how to teach". In particular, the volume-by-volume textbook contents from Grade 3 to Grade 6 shown in the appendices clearly present the spiral path by which a concept rises from "perception through stories" to "initial understanding" and then to "simple application".
The Ministry of Education's Guidelines for AI General Education in Primary and Secondary Schools (2025 Edition) explicitly call for "establishing a sense of safety, experiencing AI cultural and creative activities to perceive the double-edged nature of technology, and building a basic understanding of privacy protection and digital identity". The book's suggestions on teaching methods for primary school respond clearly to this requirement, proposing that "primary practice should give priority to teacher-selected materials, closed or controlled environments, anonymized data, and clearly defined tasks". This reflects strict adherence to policy red lines and responds precisely to the practical boundaries and safety requirements of the primary stage.
3. The Book's Practical Value and Real-World Challenges, from a Teaching Researcher's Perspective
1. Value
It provides a "cognitive map" for teachers' understanding of the curriculum: at present, many information technology teachers still understand AI classes as "teaching tools" or "playing with equipment". The book's argument that "AI general education should not be treated in an instrumental, technical, or activity-driven way" sharply points out the deviations in current practice.
The Beijing Local Curriculum Outline for AI Education in Primary and Secondary Schools (Trial, 2025 Edition) allows the course to be "delivered in integration with information technology, science, integrated practical activities, and other courses". The book's dedicated chapter on "AI and cross-disciplinary integration" proposes a framework of "domain problem — formalization — method transfer — domain validation", which offers a clear path for bringing AI thinking into subject courses such as science and integrated practice.
2. Challenges
First, the demands on teachers are extremely high. Achieving the goal of cognitive autonomy requires teachers themselves to have a cross-disciplinary outlook and deep pedagogical expertise. At present the vast majority of information technology teachers lack a systematic theoretical background in AI. How to lead teachers to grasp the content and spirit of the book, and help them shift from "teaching operations" to "cultivating thinking", is the most urgent task before us.
Second, the difficulty of adapting the assessment system. The Ministry of Education's Guidelines for AI General Education in Primary and Secondary Schools (2025 Edition) require AI courses to be included in the comprehensive evaluation of students, but so far there has been no guidance at the level of concrete practice. Although the book proposes the direction of assessing by observing the four capacities, turning this into rubrics that are workable, recordable, and presentable in primary classrooms still requires us to work on it together with teaching-research teams.
Third, alignment with "all grades" falls short. At present, the textbook contents in the appendices cover Grades 3 to 8 within basic education, so they cannot yet fully meet the national requirement for AI general education across "all grades". I suggest organizing the writing of textbooks for Grades 1, 2, and 9 as soon as possible, so that the content framework of the whole book covers all of basic education and meets the teaching needs of different starting and graduating grades.
All in all, the book struck me as a highly forward-looking academic report of real theoretical depth. It does not stop at the policy-interpretation level of "why teach" and "what to teach", but goes deep into the essence of education — "how to teach so as to develop people". It opens a new window on AI general education in the intelligent age, and gives us a clearer direction and greater confidence in raising a new generation of young people with cognitive sovereignty.