
What does teaching and learning mean when Artificial Intelligence is capable of recalling information, producing explanations, solving problems, analyzing texts, formulating judgments, and generating content? And how can these tools be used without delegating to them the cognitive processes that education is called upon to develop? This volume offers a theoretical and practical guide to teaching with Artificial Intelligence, taking as its reference framework Bloom's taxonomy in the version revised by Anderson and Krathwohl. The six cognitive processes—remembering, understanding, applying, analyzing, evaluating, and creating—provide the structure through which the book examines what AI can offer to learning and what must instead remain the object of human experience, practice, and judgment. For each level, the text reconstructs the main cognitive mechanisms involved, identifies the difficulties encountered by students, and analyzes the specific opportunities and risks of using AI. Particular attention is devoted to the distinction between a use that supports thinking and a use that replaces it: AI can facilitate the retrieval of knowledge, offer explanations and feedback, support problem-solving, assist analysis, and expand creative possibilities, but it can also foster dependency, cognitive delegation, and uncritical acceptance of results. The teacher's role is reconceived through three complementary functions: designing learning experiences, developing activities and materials, and orchestrating the interaction among students, content, and AI systems. Instructional scenarios, prompt examples, and applied proposals show how to position AI before, during, or after students' cognitive work, while preserving their autonomy, awareness, and capacity for judgment. Aimed primarily at school teachers, but also useful in university teaching, the volume offers not a set of recipes tied to individual tools, but a pedagogical and instructional framework for making informed and responsible decisions. The goal is to keep the development of human intelligence at the center, so that AI becomes a resource for learning to think rather than a means of avoiding it.
Ultimo aggiornamento
20.10.2026