Data in Schools Melbourne 2026

This presentation explores a practical and ethical approach to building AI agents that tracks student learning growth through curriculum and assessment data. It demonstrates how AI can synthesise targeted assessments to generate learning summaries and identify trends over time. Participants will explore how these insights support teachers to personalise instruction and design targeted lessons. During the workshop, participants will engage with a Kardinia case study and take part in hands‑on activities, including building and using their own AI agent with their school’s data.