Toward human-centered, inclusive, and ethical artificial intelligence in education
The book “Generative Artificial Intelligence in Preschool and Primary Education” is aimed at students in education departments and practicing teachers. It frames the use of generative AI as a pedagogical issue: what it is, how it works, what it can support, and where boundaries are needed. It begins with definitions (predictive/generative AI, large language models) and moves on to the basic “architecture” (tokens, embeddings, the attention mechanism), helping readers understand why convincing errors occur and why linguistic coherence does not guarantee accuracy.
It then brings the discussion into the classroom: pedagogical design and age appropriateness, multimodality and visual literacy, assessment and feedback, integrity, simulations/role-play, and responsible use. The book concludes with a practical section on teachers as creators of tools: programming in natural language (vibe coding), small applications for specific classroom needs, and debugging as a checking process before any tool is used with children.
The book’s strengths
It offers a comprehensive path from fundamental concepts to classroom practice, clearly connecting “how it works” with “how I use it” in preschool and primary classrooms.
It maintains a consistent focus on pedagogical value: when AI acts as a scaffold and when it replaces thinking (and therefore undermines learning). It includes activities for different age groups (Kindergarten, Grades 1–3, Grades 4–6), with objectives, materials, descriptions, and adaptations, making them easy to implement without technical overload.
It does not “hide” the difficult issues: privacy/data, bias, human oversight, and integrity are treated as part of the design, not as an appendix. It provides practical frameworks for checking (testing, iterative improvement, risk assessment, debugging), ensuring that AI-generated materials pass through human review before entering the classroom.
