AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 692 · 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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
2. 2.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
3. 3.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
4. 4.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
5. 5.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) spotting spam (c) drawing a new picture (d) drafting a letter
8. 8.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
9. 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a song about dogs (d) a list of rules only
10. 10.True or false: “add varied examples” adds to bias. (a) False (b) True
11. 11.Which of these is a fact about AI? (a) AI has real feelings (b) AI learns from data (c) AI is never wrong (d) AI knows everything
12. 12.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
13. 13.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
14. 14.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
15. 15.Which of these is generative AI (it makes something new)? (a) making up a story (b) sorting photos by face (c) unlocking with a face (d) suggesting a video
16. 16.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
18. 18.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
19. 19.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
20. 20.True or false: turning your spoken words into typed text is AI recommending something. (a) False (b) True
21. 21.True or false: “test on one group only” adds to bias. (a) True (b) False
22. 22.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
23. 23.🔍 Which is the odd one out? (a) video suggestions (b) a fan regulator (c) a spam filter (d) face unlock on a phone
24. 24.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the trained program (d) naming a new leaf
25. 25.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
26. 26.🔍 Which is the odd one out? (a) face unlock on a phone (b) a microwave timer (c) a map predicting traffic (d) a spam filter
27. 27.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
28. 28.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
29. 29.True or false: “learns from examples” describes how AI works. (a) False (b) True
30. 30.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
32. 32.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) add varied examples (d) ask different people
33. 33.Which of these is not AI? (a) a map predicting traffic (b) voice typing (c) an AI chatbot (d) a calculator
34. 34.Which of these is not AI? (a) face unlock on a phone (b) a light switch (c) an image generator (d) an app translating signs
35. 35.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
36. 36.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
37. 37.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
39. 39.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) skip testing (d) ask different people
40. 40.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price

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