Data in Schools Melbourne 2026

For almost a decade, AAS's PSAM (Post Secondary Academic Measure) has scaled and analysed student performance data across Australia's three senior secondary systems — HSC, VCE, and QCE — and the International Baccalaureate. What began as statistical modelling delivered through a web platform evolved into something richer through an unexpected circularity: as we consulted with school leaders, they became more data-literate, and in turn told us what knowledge they actually needed. Their questions shaped the product. The product deepened their questions. Schools and consultants grew together.
 
This human dialogue — sitting with principals, boards, and heads of department to interpret complex scaled data — remains the most powerful thing we do. Leaders leave with what we call a "backpack of knowledge" for the year ahead: grounded insights they can act on to improve teaching, course counselling, and student outcomes. We must always remember that learning precedes data — students should pursue what holds purpose and value for them. The numbers point in a direction, but they are not the destination.
 
As we develop our platform and consultations with AI assisted insights we also continue to recognise that the invention of AI-driven analytics is the invention of the AI-driven misinterpretation; users who may lack the statistical grounding to recognise when the machine has produced nonsense with confidence or makes declarative statements with little knowledge of the story behind the figures. We scale, we model, we measure. But PSAM has always been about the balance; where rigorous data finds meaning through human dialogue, empathy, and the stories behind the figures. That balance has never been accidental. It is the product of almost a decade of sitting with schools and learning, together, what the data actually means in the life of a student.
 
This presentation argues that the answer lies in origin. Every analytical skill in our system was born from a real school asking a real question — often naive, not statistically grounded — that we interpreted through statistical and educational expertise. The tool carries the DNA of the conversation. The intersectionality of data and human experience — empathy, contextual knowledge, the stories behind the numbers — is what makes this dialogue so powerful in schools' pursuit of continuous improvement. 

As Data Leaders in schools, we all have that one fancy spreadsheet we've been dying to show off to someone who gets it - this session will give you that chance!

In this session we'll explore how Data Leaders can empower teachers to take meaningful ownership of their classroom data, particularly in contexts where data confidence and engagement vary widely. Using a practical case study, the session will demonstrate how bespoke Google Sheets templates were developed to shift staff away from static 'chronicle-style' data use, towards identifying trends and actionable insights to inform teaching. This can be used to complement and leverage the implementation of a school-wide data analytics platform, helping to build a more coherent and positive culture around data use.

This hands-on session will address common challenges faced by schools, including data hygiene, consistency of practice, staff buy-in, and data literacy. It will offer practical strategies to support data-averse teachers, with a focus on building confidence, reducing barriers, and fostering sustainable, teacher-led engagement with data. Emerging technologies, including the use of AI to streamline and refine tool design, will be explored.

Most importantly, it will be a chance for Data Leaders to showcase their own tools, exchange ideas, and explore how we can get them in the hands of teachers to make a meaningful difference.

Please bring along your device and your favourite spreadsheet!