Policy, Practice, and Paradigms Shaping AI Education Strategies

This lecture addresses the growing gap between rapid AI adoption in education and the slower development of coherent institutional and national strategies. It examines how policy frameworks, funding instruments, and governance models influence educational practices around AI. Drawing on European and international policy initiatives, the talk analyzes how concepts such as digital skills, STEAM education, and ethical AI are translated into concrete educational actions. The lecture highlights tensions between innovation-driven narratives and the realities of implementation in diverse educational systems. It also explores the role of educators and researchers in shaping policy discourse, rather than merely responding to it. Particular emphasis is placed on interdisciplinary collaboration as a prerequisite for sustainable AI education strategies. The talk offers insights into how institutions can align curriculum development, staff training, and evaluation mechanisms with broader policy goals. The session concludes by proposing principles for resilient AI education strategies that remain adaptable in a rapidly evolving technological and regulatory landscape.