AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 724 · 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.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) recommending (d) predicting
2. 2.True or false: suggesting the next word as you type needs AI that learns from examples. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) photos grouped by face (b) face unlock on a phone (c) a doorbell (d) a voice assistant
4. 4.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
5. 5.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) predicting rain (c) turning speech to text (d) making up a story
6. 6.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) add more of the same (d) ignore complaints
7. 7.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
8. 8.🔍 Which is the odd one out? (a) a microwave timer (b) a calculator (c) photos grouped by face (d) a doorbell
9. 9.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
10. 10.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) improves with more data (d) follows fixed rules
11. 11.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) check who is missing (d) fix wrong labels
12. 12.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) turning speech to text (c) composing a new tune (d) suggesting a video
13. 13.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
14. 14.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
15. 15.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
16. 16.Which of these is the model? (a) 500 labelled leaf photos (b) recorded spoken words (c) flagging a new email (d) the trained program
17. 17.Which of these uses AI? (a) a kitchen weighing scale (b) photos grouped by face (c) a fan regulator (d) a digital watch
18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
19. 19.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
20. 20.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
21. 21.🔍 Which is the odd one out? (a) drafting a letter (b) creating a cartoon (c) making up a story (d) spotting spam
22. 22.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
23. 23.🔍 Which is the odd one out? (a) use one group only (b) check who is missing (c) test on one group only (d) add more of the same
24. 24.🔍 Which is the odd one out? (a) sorting photos by face (b) creating a cartoon (c) reading number plates (d) turning speech to text
25. 25.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) balance the data
26. 26.True or false: “naming a new leaf” is the model. (a) True (b) False
27. 27.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) test on one group only (d) fix wrong labels
28. 28.Which of these is a fact about AI? (a) AI has real feelings (b) AI can be wrong (c) AI always checks facts (d) AI knows everything
29. 29.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
30. 30.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
31. 31.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
33. 33.Which of these is not AI? (a) an AI chatbot (b) face unlock on a phone (c) a voice assistant (d) a fan regulator
34. 34.🔍 Which is the odd one out? (a) drafting a letter (b) spotting a sick leaf (c) suggesting a video (d) reading number plates
35. 35.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
36. 36.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
37. 37.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
38. 38.Which of these is good for training a model? (a) blurry, unclear photos (b) examples of every type (c) testing on training data (d) only one kind of example
39. 39.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
40. 40.Which of these is training data? (a) flagging a new email (b) what training builds (c) 500 labelled leaf photos (d) typing a new spoken word

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