AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 199 · 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.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
2. 2.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it has a screen (d) it is always right
3. 3.Which of these uses AI? (a) a digital watch (b) a printed timetable (c) a doorbell (d) an app translating signs
4. 4.🔍 Which is the odd one out? (a) a light switch (b) a kitchen weighing scale (c) a digital watch (d) a spam filter
5. 5.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
6. 6.True or false: “add varied examples” adds to bias. (a) True (b) False
7. 7.Which of these is training data? (a) the learned patterns (b) 500 labelled leaf photos (c) typing a new spoken word (d) what training builds
8. 8.Which of these helps reduce bias? (a) skip testing (b) test on many groups (c) add more of the same (d) use one group only
9. 9.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) an image (c) music or sound
10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
11. 11.Which of these adds to bias? (a) balance the data (b) ask different people (c) copy old unfair choices (d) fix wrong labels
12. 12.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
13. 13.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
14. 14.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
15. 15.Which of these describes how a normal program works? (a) improves with more data (b) follows fixed rules (c) gives a likely answer (d) learns from examples
16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
18. 18.True or false: “ask your teacher” is a real way to check an AI answer. (a) False (b) True
19. 19.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
20. 20.🔍 Which is the odd one out? (a) face unlock on a phone (b) a digital watch (c) a microwave timer (d) a stopwatch
21. 21.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
22. 22.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) no, it follows rules (c) only at night (d) yes, it is smart
23. 23.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
24. 24.Which of these is not AI? (a) a spam filter (b) photos grouped by face (c) a microwave timer (d) a map predicting traffic
25. 25.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
26. 26.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
27. 27.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
28. 28.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
29. 29.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) predicting (c) recommending (d) generating
30. 30.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) predicts likely words (d) asks a person
31. 31.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
32. 32.🔍 Which is the odd one out? (a) reading number plates (b) predicting rain (c) unlocking with a face (d) making up a story
33. 33.🥭 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 will shut down (d) it may get it wrong
34. 34.Which of these is a myth about AI? (a) AI can be wrong (b) AI knows everything (c) AI learns from data (d) AI copies data patterns
35. 35.🔍 Which is the odd one out? (a) confident means correct (b) AI has real feelings (c) AI copies data patterns (d) AI knows everything
36. 36.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
37. 37.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
38. 38.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
39. 39.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
40. 40.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False

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