AI Builder · Session 6 of 24⏱ 30 min · 👨‍👩‍👧 Parent aware

📊 AI for Data

Turn numbers into insights — without being a data scientist.

🎯 Today's goal: Your child learns to use AI to understand and interpret data — charts, statistics, and what numbers actually mean.

🔥 Warm Up — 3 minutes

Warm Up

"Data is everywhere. News articles quote statistics. Sports use numbers. Science runs on data. AI can help you understand all of it — if you know how to ask."

"Today we learn to read data using AI as our interpreter."

🤖 The Activity — 20 minutes

Main Activity

Every activity today uses a real dataset or real numbers.

📋 Type this exactly

Here are some numbers about screen time for teenagers: Average daily screen time: 7.5 hours. Percentage who say they feel anxious without their phone: 68%. Percentage who say social media makes them feel worse about themselves: 45%. Percentage who say they wish they spent less time on their phone: 72%. What do these numbers actually mean? What questions should I ask about them before I believe them?

AI should flag: who collected this data? How? Sample size? When? This teaches statistical scepticism — numbers need context.

📋 Type this exactly

I want to understand this better: [find a simple statistic from a news article or sports page — a percentage, a comparison, a trend]. Explain what this number means, what it does not mean, and what other information I would need to properly understand it.

Apply to something real. The habit: every statistic has context. AI helps you ask the right questions about it.

📋 Type this exactly

Create a simple survey I could run with 10 friends to find out [something your child genuinely wants to know about their peer group]. Give me: 5 questions, the response options for each, and how I would analyse the results once I have them.

This makes data collection practical and personal.

🧩 The Twist — 5 minutes

Deep Dive

📋 Type this exactly

Here is a claim: 'Students who eat breakfast perform 20% better in exams.' Is this a strong claim or a weak one? What would I need to know to evaluate it properly?

AI should discuss correlation vs causation, sample size, methodology. Ask your child: If this claim appeared in an advertisement for a breakfast cereal — would you trust it? What if it appeared in a medical journal? Why does the source matter?

🛡️ Safety Moment

“AI makes mistakes — always check”

Statistics are one of the areas where AI is most unreliable — it can produce plausible-sounding numbers that are simply wrong. Any specific statistic AI gives you needs to be verified against a primary source. The habit from today: always ask where the number comes from.

👨‍👩‍👧 Parent: read this aloud. Ask your child to repeat it back.

📊

Data Interpreter Badge 📊

Used AI to understand data — and learned to ask the right questions about numbers

✓ Mark this session complete on your tracker

👨‍👩‍👧

Parent Notes — tap to expand

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What they learned

Statistical and data literacy — understanding that numbers require context, sources need evaluation, and correlation is not causation.

Questions to ask

What questions should you always ask when someone shows you a statistic?
What is the difference between correlation and causation?
If you were going to run the survey you designed today — what do you think you would find?

What to watch for

Data literacy is one of the most transferable skills in this programme. It applies to news articles, advertisements, health claims, and political arguments — everywhere numbers are used to persuade.

Safety in context

The advertisement example at the end is worth extending if the child is engaged. How do companies use statistics to make their products sound better than they are? This connects to media literacy and consumer awareness.

← Session 5 Session 7 →

📊 AI for Data

🔥 Warm Up — 3 minutes

🤖 The Activity — 20 minutes

🧩 The Twist — 5 minutes

Data Interpreter Badge 📊

Parent Notes — tap to expand

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