An interactive summary of the AI Literacy Framework for Primary and Secondary Education, a joint initiative by the European Commission, OECD, and Code.org.
AI's influence is growing rapidly, yet there's a critical gap in education. Students are using AI without formal guidance, creating an urgent need for a shared understanding of AI literacy.
This chart shows the primary sources from which young people (ages 17-27) learn about AI, highlighting the dominant role of social media over formal education.
This visualization compares the high percentage of students (ages 12-17) who believe AI will be significant in their careers against the low percentage who feel their schools are adequately preparing them.
AI Literacy is defined as the technical knowledge, durable skills, and future-ready attitudes required to thrive in an AI-influenced world. The framework is built on three core components.
This is the foundational understanding of how AI works, its limitations, and its societal impact. It's crucial for dispelling misconceptions and recognizing AI's real-world implications.
The framework outlines four key domains that represent the different ways learners can interact with AI, moving from consumption to active creation and design.
Using AI as a tool to access and critically evaluate new content, information, or recommendations. This is about moving from passive consumption to active, critical evaluation.
Competence Example: Evaluate AI outputs.
Secondary Scenario: A student prompts a language model about a historical event, then cross-references the output with reliable sources to check for accuracy and bias.
Use the Gemini API to generate unique classroom scenarios that align with a specific AI literacy domain and grade level. Get inspired with a fresh example!