What can we really know about an individual learner? This practical workshop explores how curriculum-based assessment, cognitive ability data (CAT4) and affective data (PASS) can be triangulated to build a far richer, more complete picture of each student.
Participants will see how combining these three lenses creates powerful, data-informed learner profiles that drive Multi-Tiered Systems of Support (MTSS). We'll explore how data-informed decision-making depends not just on academic results, but on the affective dimension too — how students' self-belief and self-perception as learners shape their outcomes — and the critical role that developing learner agency plays in lifting academic performance.
Through worked examples, participants will leave with a clear, data-informed approach to pairing academic intervention with strategies that build learner agency, so that every student is positioned to improve.
