AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 778 · 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 video app suggesting what to watch next? (a) recommending (b) recognising (c) predicting (d) generating
2. 2.🔍 Which is the odd one out? (a) blurry, unclear photos (b) new data for testing (c) checking labels twice (d) photos in many lights
3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
4. 4.Which of these is training data? (a) naming a new leaf (b) what training builds (c) past weather records (d) flagging a new email
5. 5.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
6. 6.Which of these is not AI? (a) a map predicting traffic (b) face unlock on a phone (c) a voice assistant (d) a torch
7. 7.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
8. 8.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
9. 9.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
10. 10.True or false: a camera app naming the flower you point at is AI predicting something. (a) True (b) False
11. 11.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
12. 12.Which of these is good for training a model? (a) only one kind of example (b) correct labels (c) labels added at random (d) very few examples
13. 13.🔍 Which is the odd one out? (a) AI can make up facts (b) AI can be wrong (c) AI answers need checking (d) AI knows everything
14. 14.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) inventing a recipe (c) predicting rain (d) making up a story
16. 16.Which of these adds to bias? (a) ask different people (b) check who is missing (c) skip testing (d) fix wrong labels
17. 17.Which of these is good for training a model? (a) wrong labels (b) many varied examples (c) very few examples (d) blurry, unclear photos
18. 18.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
19. 19.🔍 Which is the odd one out? (a) voice typing (b) video suggestions (c) a spam filter (d) a light switch
20. 20.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
21. 21.Which of these is a myth about AI? (a) AI is never wrong (b) AI answers need checking (c) AI learns from data (d) AI can make up facts
22. 22.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
23. 23.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
24. 24.⏩ 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
25. 25.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) predicting rain (c) reading number plates (d) drafting a letter
26. 26.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
27. 27.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
28. 28.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) inventing a recipe (c) suggesting a video (d) drawing a new picture
29. 29.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) predicting (b) generating (c) recognising (d) recommending
30. 30.True or false: “ask different people” helps reduce bias. (a) False (b) True
31. 31.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
32. 32.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
33. 33.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
34. 34.Which of these is the model? (a) typing a new spoken word (b) the trained program (c) recorded spoken words (d) past weather records
35. 35.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) copies of one photo (d) blurry, unclear photos
36. 36.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
37. 37.🔍 Which is the odd one out? (a) a digital watch (b) an AI chatbot (c) a microwave timer (d) a fan regulator
38. 38.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
39. 39.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) test on one group only (d) check who is missing
40. 40.True or false: “learns from examples” describes how AI works. (a) False (b) True

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