AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 495 · 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.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
2. 2.🔍 Which is the odd one out? (a) use one group only (b) ignore complaints (c) balance the data (d) skip testing
3. 3.🤖 Who builds and trains AI systems? (a) people (b) nobody at all (c) the Moon (d) the weather
4. 4.🔍 Which is the odd one out? (a) a doorbell (b) a printed timetable (c) a torch (d) face unlock on a phone
5. 5.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) inventing a recipe (c) writing a new poem (d) reading number plates
7. 7.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
8. 8.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) better at its task (d) change colour
9. 9.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
10. 10.True or false: “typing a new spoken word” is the model. (a) False (b) True
11. 11.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
12. 12.True or false: “what training builds” is the model. (a) True (b) False
13. 13.Which of these uses AI? (a) a digital watch (b) a kitchen weighing scale (c) a stopwatch (d) voice typing
14. 14.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
15. 15.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
16. 16.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) uses rules people wrote (d) learns from examples
17. 17.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) clear, sharp examples (d) labels added at random
18. 18.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
19. 19.Which of these adds to bias? (a) test on one group only (b) fix wrong labels (c) add varied examples (d) balance the data
20. 20.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
21. 21.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it is smart (d) yes, it can think
22. 22.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it uses electricity (d) it learns from examples
23. 23.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) text (c) music or sound
24. 24.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
25. 25.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) spotting spam (c) drawing a new picture (d) spotting a sick leaf
26. 26.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI answers need checking (d) long answers are true
27. 27.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
29. 29.Which of these describes how a normal program works? (a) gives a likely answer (b) does exactly as coded (c) makes a best guess (d) improves with more data
30. 30.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it may get it wrong (d) it will shut down
31. 31.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
32. 32.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
33. 33.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
34. 34.Which of these is a myth about AI? (a) AI answers need checking (b) confident means correct (c) AI can be wrong (d) AI learns from data
35. 35.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
36. 36.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
37. 37.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
39. 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
40. 40.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False

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