Learning · Years 7 to 12 · Australian Curriculum v9

Stronger tools. Tougher problems.

Classroom courses, hands-on labs and capstone projects for Years 7 to 12, already built so any teacher can deliver them.

What students take on

Built to be pushed.

4 of our labs ←
Pixel-art scene from The Lighthouse Case: a lighthouse at night with its beam across the sky, and three numbered clues, the stains, the tracks and the clock.
Case 001 · three clues, three models

The Lighthouse Case

Students build a model from each of three clues, then decide whether 57% is enough to accuse someone.

What they learn
  1. What features and labels are.
  2. Why a prediction comes with a range.
  3. How combining models helps, and why a likelihood is not proof.
A detective story told in three models. Enquire about your school
Three parts of the Inference Lab. A brain scan and a blurred copy go in, a diagram shows the model lit up for that scan, and the answer comes out as Normal for a scan the dataset labels Tumor.
ML Lab and Inference Lab · image classification

Would you trust this model to screen brain scans?

Students train a classifier on brain MRI scans, then try to break it.

What they learn
  1. How a model turns an image into a decision.
  2. Where a model fails, and how to find out why.
  3. How to judge whether the evidence is enough to trust it.
Teaching data, not for diagnosis. Dataset: BRAIN_MRI v1, Prabhat Tuna, CC BY 4.0. Enquire about your school
Pixel-art scene from Tooth Detective: a fossil skeleton in layers of rock at night, with three numbered stops, the teeth, the key and the model.
Dig 001 · forty loose teeth

Tooth Detective

Students sort forty fossil teeth by hand, with a key and with a model, then compare the three.

What they learn
  1. What a classification problem is.
  2. How a hand-written rule differs from a trained model.
  3. How to compare the two fairly.
The key versus the model. Enquire about your school
A scrapbook collage on a corkboard. Six scraps from different apps are gathered, then cleaned in red pen: a heart-rate spike circled for removal, a step count stamped duplicate, 40 cups corrected to 4 and kilometres converted to steps. On the right they are pasted into one torn-paper heart for heart rate, sleep, steps, water, mood and screen time.
Chart 001 · six sources, one map

The Body Atlas

Students gather six unrelated health records, clean them up, and piece them into one picture of a person.

What they learn
  1. How unrelated sources are lined up into one record.
  2. Why cleaning comes before any conclusion.
  3. What the whole picture shows that no one source can.
Six sources, one person. Every reading is made up. Enquire about your school
For teachers

Save time preparing.

01 · solved

Model preparation and building

The models are built and ready to run in the browser, so a lesson starts with the idea and not the setup.

02 · solved

Dataset preparation and vetting

Real datasets, already sourced, cleaned and checked for classroom use.

03 · solved

Experiment composition

Each lab is a sequenced experiment, with the steps and the questions already written.

04 · solved

Driven by learning outcomes

Every activity starts from an outcome and is mapped to the Australian Curriculum v9.