AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 896 · 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: “testing on training data” is bad for training a model. (a) True (b) False
2. 2.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
3. 3.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
4. 4.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
5. 5.📚 Usually, more good examples make a model… (a) change colour (b) forget everything (c) better at its task (d) slower to switch on
6. 6.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
8. 8.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
9. 9.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
10. 10.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) improves with more data (d) same steps every time
11. 11.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
12. 12.Which of these adds to bias? (a) check who is missing (b) skip testing (c) fix wrong labels (d) ask different people
13. 13.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
14. 14.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
15. 15.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
16. 16.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
17. 17.🔍 Which is the odd one out? (a) AI answers need checking (b) confident means correct (c) AI can make up facts (d) AI can mix up numbers
18. 18.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) flagging a new email (d) what training builds
19. 19.Which of these is a fact about AI? (a) long answers are true (b) AI answers need checking (c) AI knows everything (d) AI is never wrong
20. 20.Which of these is training data? (a) labelled fruit photos (b) naming a new leaf (c) typing a new spoken word (d) tomorrow’s rain guess
21. 21.Which of these is bad for training a model? (a) many varied examples (b) new data for testing (c) blurry, unclear photos (d) checking labels twice
22. 22.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
23. 23.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI can make up facts (d) AI is never wrong
24. 24.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) recommending (d) predicting
25. 25.🔍 Which is the odd one out? (a) sorting photos by face (b) drawing a new picture (c) spotting a sick leaf (d) spotting spam
26. 26.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
27. 27.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
28. 28.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
29. 29.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
30. 30.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
31. 31.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
32. 32.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
33. 33.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) learns from examples (d) spots patterns in data
34. 34.Which of these is not AI? (a) a spam filter (b) a microwave timer (c) voice typing (d) a map predicting traffic
35. 35.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
36. 36.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) recognising (c) recommending (d) predicting
37. 37.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
38. 38.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
39. 39.Which of these is a myth about AI? (a) confident means correct (b) AI can be wrong (c) AI answers need checking (d) AI learns from data
40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam

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