How can we teach and assess AI literacy in K-12 education?
AI increasingly shapes the world students grow up in, yet schools often lack clear strategies for preparing them to understand and critically engage with it. This presentation explores how we can teach and assess AI literacy in K-12 education, drawing on current research and experiences from Nordic projects. I will discuss what AI literacy means in practice, present examples of classroom activities that support both conceptual understanding and critical reflection, and discuss ways to assess students’ learning. The aim is to provide educators and policymakers with concrete insights into how schools can equip young people with the competences needed in an AI-driven society.
Facilitated By
Linda Mannila
Visiting Professor / Associate Professor, Linköping University and University of Helsinki
Linda Mannila is Associate Professor in Computer Science at the University of Helsinki, Finland and guest professor in Computer Science Education at Linköping University, Sweden. Her work lies at the intersection of AI, education, and society, with a focus on AI literacy, digital competence, and the societal dimensions of AI. She leads and participates in several Nordic and European projects on AI literacy for students, teachers, and citizens, exploring both opportunities and challenges related to the integration of AI in education and everyday life. Beyond academia, Linda is an active public speaker, author, and entrepreneur, working to strengthen dialogue between research, policy, and practice in the digital age
