31/10/2025
AI literacy has three main components: knowledge, skills, and attitudes.
Knowledge is about understanding how AI works, what it can do, and where its limits are. Itβs the foundation every teacher needs before even thinking of applying AI in their classroom practice.
Skills involve what we do with that knowledge. These include data literacy, media literacy, digital literacy, computational thinking, and, of course, critical thinking which is the thread that holds all these competencies together and helps us evaluate, adapt, and make sound judgments.
Attitudes are about mindset. Itβs the curiosity, openness, and reflective stance that teachers need to keep growing alongside AI.
In this post, Iβm focusing on the knowledge part: the foundational layer.
Below are six free guides every teacher should keep bookmarked and revisit often. They provide the grounding needed to teach, lead, and adapt confidently with AI:
1. Artificial Intelligence and the Future of Teaching and Learning, by U.S. Department of Education
2. AI Competency Framework for Teachers , by UNESCO
3. Empowering Learners for the Age of AI, by OECD
4. Ethical Guidelines on the Use of Artificial Intelligence (AI) and Data in Teaching and Learning for Educators, by European Commission
5. Generative Artificial Intelligence in Kβ12 Education: Guidance for Arizona Schools and School Systems, by Arizona Institute for Education and the Economy.
These resources offer a unique perspective on AI covering ethical guidelines, competencies, practical frameworks, policy directions, and much more. Together, they provide you with a solid foundation to build your own AI literacy journey.