AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 446 · 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: a keyboard guessing your next word is AI recognising something. (a) False (b) True
2. 2.Which of these adds to bias? (a) test on many groups (b) balance the data (c) add more of the same (d) add varied examples
3. 3.True or false: “wrong labels” is bad for training a model. (a) False (b) True
4. 4.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
5. 5.True or false: “use one group only” helps reduce bias. (a) True (b) False
6. 6.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
7. 7.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
8. 8.🔍 Which is the odd one out? (a) add more of the same (b) test on one group only (c) skip testing (d) balance the data
9. 9.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
10. 10.True or false: “many varied examples” is bad for training a model. (a) True (b) False
11. 11.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
12. 12.🔍 Which is the odd one out? (a) checking labels twice (b) photos in many lights (c) correct labels (d) labels added at random
13. 13.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
14. 14.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
15. 15.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) handles unseen examples (d) never learns from data
16. 16.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
17. 17.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
18. 18.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
19. 19.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
20. 20.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
22. 22.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
23. 23.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
24. 24.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) True (b) False
25. 25.True or false: “the trained program” is training data. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) very few examples (d) examples of every type
27. 27.Which of these is bad for training a model? (a) very few examples (b) many varied examples (c) examples of every type (d) new data for testing
28. 28.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) a song about dogs (d) many labelled photos
29. 29.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
30. 30.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
31. 31.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) blurry, unclear photos (d) many varied examples
32. 32.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) predicting (c) generating (d) recognising
33. 33.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) learns from examples (d) same steps every time
34. 34.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
35. 35.🔍 Which is the odd one out? (a) many varied examples (b) clear, sharp examples (c) testing on training data (d) examples of every type
36. 36.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it has a screen (d) it uses electricity
37. 37.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) turning speech to text (c) spotting a sick leaf (d) predicting rain
38. 38.True or false: a map app guessing how long a trip will take is AI generating something new. (a) False (b) True
39. 39.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
40. 40.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) clear, sharp examples (d) only one kind of example

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