AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 50 · 40 questions

AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.

1. 1.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) wrong labels (d) checking labels twice
2. 2.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing
3. 3.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
4. 4.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
6. 6.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
7. 7.Which of these uses AI? (a) a torch (b) a calculator (c) voice typing (d) a microwave timer
8. 8.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
9. 9.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
10. 10.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
11. 11.🔍 Which is the odd one out? (a) creating a cartoon (b) spotting spam (c) spotting a sick leaf (d) suggesting a video
12. 12.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
13. 13.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it may get it wrong (d) it will turn yellow
14. 14.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
15. 15.💬 What do we call the request you type to a generative AI? (a) a password (b) a label (c) a prompt (d) a battery
16. 16.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can be wrong (c) AI copies data patterns (d) AI can mix up numbers
17. 17.True or false: “add varied examples” adds to bias. (a) False (b) True
18. 18.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) yes, it can think (c) only at night (d) no, it follows rules
19. 19.Which of these is good for training a model? (a) wrong labels (b) clear, sharp examples (c) labels added at random (d) blurry, unclear photos
20. 20.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
21. 21.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
22. 22.Which of these is a fact about AI? (a) AI is never wrong (b) AI learns from data (c) AI knows everything (d) AI always checks facts
23. 23.Which of these uses AI? (a) a stopwatch (b) a microwave timer (c) video suggestions (d) a light switch
24. 24.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
25. 25.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
26. 26.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
27. 27.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI copies data patterns (c) AI learns from data (d) AI knows everything
28. 28.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
29. 29.Which of these describes how AI works? (a) follows fixed rules (b) gives a likely answer (c) uses rules people wrote (d) same steps every time
30. 30.Which of these is not AI? (a) face unlock on a phone (b) photos grouped by face (c) a voice assistant (d) a digital watch
31. 31.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) testing on training data (d) many varied examples
32. 32.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) generating (c) recommending (d) recognising
33. 33.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
34. 34.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
35. 35.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
36. 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
38. 38.🔍 Which is the odd one out? (a) blurry, unclear photos (b) wrong labels (c) very few examples (d) new data for testing
39. 39.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
40. 40.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking

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