COMPUTING 11–14 · LEARN. PRACTISE. BUILD.

AI, data science and machine learning

Discover the difference between data, predictions and evidence that a model is reliable.

What you will explore

  • AI in everyday life
  • Understanding and using data
  • How machines learn from data

Start with the idea

A model learns patterns from examples rather than following every rule written by a programmer. Its output is a prediction that needs evaluating using data the model has not already seen.

Learn → Practise → Build

Try it yourself

  • Identify one everyday technology that makes a prediction and write down what information it might use.
  • Explore our threshold simulator and find a setting that changes the number of mistakes.
  • Explain why a model should be checked against new examples, not only the data used to tune it.

What could this lead to?

Explore how the skills behind this topic appear in work:

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Check your understanding

Project and progression

This original TutorSyntax activity can be used before GCSE study or for enrichment. Its topic grouping relates to Ada’s published 11–14 catalogue, but it is not a confirmed GCSE specification.

Independent TutorSyntax teaching material · last reviewed 22 October 2026. Ada’s availability labels may change.