Bramble Bush Bay by Dr Clare Walsh

PhD (Web Science and Education) | Montessori trained | Author | Assessment Consultant | Mum

Dr Clare Walsh

My story

I have spent my career at the intersection of data and learning, selling millions of books to secondary and adult learners. But my true passion project began 20 years ago during my Montessori training.

I’ve spent two decades asking: ‘How do we prepare children for a world of AI and Big Data without losing the magic of physical play? With a joint PhD from the Education and Computer Science Departments at Southampton University, I’ve found answers. My ‘Logic Land Missions’ use beautiful characters and physical objects to teach the 4-year-old brain how to classify, sequence and problem-solve like an engineer - all before they ever write their first line of code.

Our Philosophy

Where the prepared environment meets the digital future

At Bramble Bush Bay, we believe that the most powerful computer on the planet is the one already inside your child’s head.

Our approach is born from a simple realisation, the logic that governs our modern world - algorithms, data patterns and systems thinking - can be felt, touched and mastered before the child even touches a keyboard.

The 90/10 Rule

We are not anti-technology. We re pro intentionality. We share a 90 second video to hook the child into the topic and spark curiosity. The 90 second spark is designed to lead to 10 minutes of deep physical, concentrated work - the ‘flow state’ that is so vital to early development.

Where Ideas
Take Shape

Our data, digital and logic curriculum is back mapped. We looked at the skills required for the 2040 workforce and distilled them into developmental milestones of the Early Years.

  • Early literacy becomes a lesson in sequencing and probability.

  • Maths and counting becomes a lesson in exploration of data classification.

  • Creative play becomes a sandbox for Algorithmic Design.

Throught our logic leaders (our cast of cartoon animals), children learn to decompose big problems, categorise multivariate data and debug errors - skills that are as useful in the playground as they are in the laboratory.