Foundations of AI Education

Foundations of AI Education supports educators to critically re-examine teaching, learning, and assessment in response to the growing influence of artificial intelligence, with particular attention to generative AI. Rather than centring on tools alone, the course foregrounds foundational concepts, ethical considerations, and pedagogical design principles that enable educators to respond thoughtfully and responsibly to AI-enabled educational contexts. Drawing on contemporary research, theory, and practice, the course integrates three key dimensions: foundational AI literacy, the redesign of authentic assessment, and the development of AI-informed pedagogical approaches that support meaningful learning, learner agency, and educational integrity. Throughout the course, participants critically engage with the social, cultural, and ethical implications of AI, including issues of bias, data governance, academic integrity, and equity. By the end of the course, educators will be equipped to make informed, principled decisions about how (and whether) AI is integrated into educational practice, and to articulate coherent, values-informed approaches to teaching and assessment in an AI-rich world.