AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 953 · 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 helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add varied examples (d) use one group only
2. 2.True or false: “wrong labels” is good for training a model. (a) True (b) False
3. 3.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) never learns from data (d) spots patterns in data
4. 4.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) handles unseen examples (d) one set rule per case
5. 5.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
6. 6.True or false: “recorded spoken words” is a prediction. (a) True (b) False
7. 7.Which of these helps reduce bias? (a) skip testing (b) ask different people (c) ignore complaints (d) use one group only
8. 8.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
9. 9.Which of these uses AI? (a) a microwave timer (b) a doorbell (c) photos grouped by face (d) a fan regulator
10. 10.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) the Moon (d) people
11. 11.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) check who is missing (d) test on one group only
12. 12.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) fewer tests (d) more varied data
13. 13.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or typing a new spoken word? (a) 500 labelled leaf photos (b) typing a new spoken word
15. 15.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) generating (c) recommending (d) recognising
16. 16.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
17. 17.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
18. 18.True or false: “labels added at random” is bad for training a model. (a) False (b) True
19. 19.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
20. 20.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
21. 21.⏩ In machine learning, which comes first: naming a new fruit photo or recorded spoken words? (a) naming a new fruit photo (b) recorded spoken words
22. 22.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
23. 23.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
24. 24.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
25. 25.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
26. 26.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) balance the data (d) ignore complaints
27. 27.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) automatic internet (d) actual information
28. 28.True or false: “a summary of chapter 3” asks for music or sound. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) sorting photos by face (b) reading number plates (c) drawing a new picture (d) turning speech to text
30. 30.Which of these is training data? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new fruit photo (d) what training builds
31. 31.Which of these uses AI? (a) face unlock on a phone (b) a doorbell (c) a light switch (d) a torch
32. 32.🔍 Which is the odd one out? (a) a map predicting traffic (b) voice typing (c) a torch (d) an app translating signs
33. 33.Which of these describes how a normal program works? (a) makes a best guess (b) spots patterns in data (c) same steps every time (d) learns from examples
34. 34.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
35. 35.Which of these helps reduce bias? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) test on many groups
36. 36.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
37. 37.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
38. 38.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
39. 39.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
40. 40.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing a new poem (c) drawing a new picture (d) spotting a sick leaf

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