This comprehensive, practical manual serves as a systematic guide for educators at all levels, helping them integrate Artificial Intelligence (AI) into their teaching practice with critical awareness and confidence. Divided into theoretical and applied sections, the volume examines the epistemological foundations of AI and explores its transformative potential in education—specifically in personalizing learning pathways, driving innovation in formative assessment, and fostering inclusive environments. Through case studies, operational frameworks, and an extensive survey of available tools, the handbook provides readers with the essential framework to select and implement AI-powered platforms, develop students' digital competencies—including computational thinking, coding, and robotics—and, crucially, navigate the complex ethical, social, and governance implications inherent in these technologies. A rich set of instructional resources, featuring professional development modules for educators and hands-on lab activities for students from preschool to secondary school, further enhances the volume. Ultimately, this book stands not merely as a scholarly contribution, but as a strategic resource for professional development and genuine educational innovation.
l presente volume si configura come un manuale sistematico e operativo volto a guidare i docenti di ogni ordine e grado nell’integrazione critica e consapevole dell’Intelligenza Artificiale (IA) nella pratica didattica. L’opera, strutturata in sezioni teoriche e applicative, muove da una disamina dei fondamenti epistemologici dell’IA per esplorarne il potenziale trasformativo in ambito educativo, con particolare riferimento alla personalizzazione dei percorsi di apprendimento, all’innovazione della valutazione formativa e alla promozione di ambienti inclusivi. Attraverso l’analisi di casi di studio, la proposta di modelli operativi e un’ampia rassegna di strumenti, il manuale fornisce al lettore le coordinate per selezionare e utilizzare piattaforme AI-powered, sviluppare competenze digitali negli studenti (pensiero computazionale, coding, robotica) e, soprattutto, affrontare le complesse implicazioni etiche, sociali e di governance legate all’adozione di tali tecnologie. Completano l’opera un corposo apparato di schede didattiche per la formazione dei docenti e attività laboratoriali per gli studenti dalla scuola dell’infanzia alla secondaria, configurando il testo non solo come un contributo scientifico ma come una risorsa strategica per lo sviluppo professionale e l’innovazione scolastica.
AI per l'Istruzione
Pattoia Maurizio
2026
Abstract
This comprehensive, practical manual serves as a systematic guide for educators at all levels, helping them integrate Artificial Intelligence (AI) into their teaching practice with critical awareness and confidence. Divided into theoretical and applied sections, the volume examines the epistemological foundations of AI and explores its transformative potential in education—specifically in personalizing learning pathways, driving innovation in formative assessment, and fostering inclusive environments. Through case studies, operational frameworks, and an extensive survey of available tools, the handbook provides readers with the essential framework to select and implement AI-powered platforms, develop students' digital competencies—including computational thinking, coding, and robotics—and, crucially, navigate the complex ethical, social, and governance implications inherent in these technologies. A rich set of instructional resources, featuring professional development modules for educators and hands-on lab activities for students from preschool to secondary school, further enhances the volume. Ultimately, this book stands not merely as a scholarly contribution, but as a strategic resource for professional development and genuine educational innovation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


