Showcasing real-world deployments across education, creativity, and knowledge work — from AI-native learning environments to tools that amplify human capability.
AI-native learning environments and embodied AI
From coding to specification: what do we teach when AI writes the code?
Multimodal knowledge systems and personalized instruction
Structural shift: from writing code → defining specs → expressing intent
Personalized learning pathways powered by AI agents
Creative pedagogy in the age of agentic AI
AI literacy for educators and students
Measuring learning outcomes with AI analytics
The structural shift from writing code to defining specs to expressing intent is transforming education at every level. This track explores how AI-native learning environments and embodied AI are creating new paradigms for teaching and knowledge work in a post-code world.