ICT · Pioneers 11–15 · Years 7–9
Python, data and AI literacy
Can an AI be wrong — and how would you know?
What you will learn
- Write Python programs with functions, lists and loops
- Analyse a data set with averages and simple charts
- Explain how machine learning uses training data and where bias comes from
- Evaluate an online source and recognise misinformation techniques
Helpful to know first: Block-based programming with variables
Discover
Think first: Can an AI be wrong — and how would you know? Say or jot one idea before you read on.
Learn — core route
- Python quiz app
- Weather CSV analysis
- Bias in a fruit classifier demo
- Misinformation detective
Lessons in this subject: Learn Topics · ICT
Practise — check a common mix-up
AI understands the world like a person.
A program with no error messages must be correct.
Apply / Create — Data Story Project
Analyse a real data set in Python, produce two charts and a 300-word data story including one limitation or possible bias.
Evidence type: code · accessible alternative always allowed (speak it, draw it, or show an adult).
How it is judged (rubric)
- Beginning: Loads data
- Developing: One chart
- Secure: Two charts, correct averages, clear story with limitation
- Extending: Considers bias source and proposes mitigation
Explain — say what you did
Review later
We'll offer a quick memory check in 7, 21 and 45 days. Mark this done and your Today page will remind you gently.
For grown-ups · framework mappings
- aligned to UK NC (Computing) · KS3 Computing: programming; data; e-safety
- aligned to CSTA-aligned · 2-AP-13, 2-DA-08, 2-IC-21
Status: Live · reviewed
What's next?