Schools collect vast amounts of data every year, yet much of it remains underused when it comes to improving teaching and learning. At the same time, adaptive assessment and AI-driven insights are transforming how we understand and act on this information.
Focussing on the data cycle demonstrates how to make data meaningful and actionable, enabling educators to make smarter, student-focused decisions that drive progress across all levels.
In this session we will explore:
- the concept of the data cycle and why closing the loop is essential for impact
- how Cambridge Insight data supports the data cycle, from collection to action and how AI is shaping adaptive assessment
- practical strategies for using data effectively to identify strengths, weaknesses and trends across subjects, year groups and whole-school performance
- how to turn analysis into action, improving classroom practice and leadership decisions and approaches for communicating data with learners.
The session will combine theory with practical examples, providing tools and strategies to make data a driver for growth, reflection and future readiness in your school.