What does data literacy mean in education today, and how is generative AI changing that picture? In the latest AI-DL podcast episode, Michael Hallissy and Jotsna Iyer explore why data literacy cannot be reduced to a single fixed definition and why it must be understood as something shaped by context, technology, and practice.
The conversation highlights a key message at the heart of the AI-DL project: data literacy is not only about technical skills, but also about understanding how data is created, interpreted, and used in teaching and learning. As GenAI becomes part of education, critical thinking, ethical reflection, and clear processes around data are becoming more important than ever.
The episode also reinforces a finding from the AI-DL diagnosis work: teachers need practical, classroom-ready frameworks and professional learning that help them engage with AI and data in meaningful, responsible, and confident ways.
Listen to the podcast [link] and read the Diagnosis report [link].
