In this episode we explore what it means to be literate in a world where algorithms increasingly decide what information students see, and what they never encounter.

We examine the OECD’s new Media and Artificial Intelligence Literacy framework, known as MAIL, and its argument that AI literacy must extend beyond evaluating whether a piece of content is accurate.

Topics covered:

• The shift from using AI tools to living inside AI-mediated environments
• The OECD’s Media and Artificial Intelligence Literacy framework
• PISA’s three foundational ideas: authors and audiences, messages and meanings, and representations and realities
• How platforms are designed to capture and monetize attention
• The effects of algorithmic personalization, echo chambers, and filter bubbles
• Why students cannot always see which perspectives have been filtered out
• The values and biases embedded in AI training data and system design
• Why AI literacy should include asking, “Why did I see this?”
• What the planned 2029 PISA assessment could mean for teachers, schools, and education systems
  

Source:

https://www.oecd.org/content/dam/oecd/en/about/projects/edu/the-pisa-2029-media-and-artificial-intelligence-(mail)-assessment-will-shed-light-on-whether-young-students-have-had-opportunities-to-learn-and-to-engage-proactively-and-critically-in-a-world-where-production,-participation,-and-social-networking-are-increasingly-mediated-by-digital-and-ai-tools-/PISA%202029%20MAIL%20Assessment%20Framework%20First%20Draft.pdf