AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 668 · 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 of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) spots patterns in data (d) follows fixed rules
2. 2.True or false: “flagging a new email” is a prediction. (a) True (b) False
3. 3.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
4. 4.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
5. 5.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
6. 6.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) copies of one photo (d) many varied examples
7. 7.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
8. 8.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) skip testing (d) fix wrong labels
9. 9.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
10. 10.Which of these is not AI? (a) video suggestions (b) a voice assistant (c) a digital watch (d) a map predicting traffic
11. 11.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) guess (c) ask it to repeat (d) pick a lucky number
12. 12.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) spots patterns in data (d) follows fixed rules
13. 13.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
14. 14.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
15. 15.Which of these uses AI? (a) a kitchen weighing scale (b) a torch (c) a light switch (d) an app translating signs
16. 16.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or what training builds? (a) naming a new fruit photo (b) what training builds
18. 18.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) the weather (d) a phone number
19. 19.Which of these is training data? (a) flagging a new email (b) the trained program (c) labelled fruit photos (d) the learned patterns
20. 20.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) flagging a new email (d) naming a new leaf
21. 21.Which of these describes how a normal program works? (a) makes a best guess (b) one set rule per case (c) gives a likely answer (d) spots patterns in data
22. 22.Which of these is training data? (a) the trained program (b) tomorrow’s rain guess (c) typing a new spoken word (d) recorded spoken words
23. 23.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
24. 24.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
25. 25.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the weather (d) the Moon
26. 26.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
27. 27.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
28. 28.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
29. 29.Which of these helps reduce bias? (a) add more of the same (b) ignore complaints (c) test on many groups (d) use one group only
30. 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) sorting photos by face (d) making up a story
31. 31.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
32. 32.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
33. 33.Which of these is good for training a model? (a) clear, sharp examples (b) testing on training data (c) copies of one photo (d) only one kind of example
34. 34.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a label (d) a password
35. 35.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
36. 36.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
37. 37.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
38. 38.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
39. 39.True or false: “recorded spoken words” is the model. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) photos in many lights (b) only one kind of example (c) wrong labels (d) very few examples

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