AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 393 · 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.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
2. 2.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) recommending (c) predicting (d) generating
3. 3.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
4. 4.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) True (b) False
5. 5.Which of these helps reduce bias? (a) add more of the same (b) test on many groups (c) ignore complaints (d) use one group only
6. 6.Which of these is a myth about AI? (a) AI is never wrong (b) AI learns from data (c) AI answers need checking (d) AI can make up facts
7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
8. 8.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
9. 9.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI copies data patterns (d) confident means correct
10. 10.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
11. 11.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) labels added at random (d) correct labels
12. 12.Which of these describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) improves with more data (d) never learns from data
13. 13.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) test on one group only (d) ignore complaints
14. 14.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
15. 15.🔍 Which is the odd one out? (a) very few examples (b) examples of every type (c) new data for testing (d) checking labels twice
16. 16.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
17. 17.Which of these is not AI? (a) voice typing (b) face unlock on a phone (c) a doorbell (d) a voice assistant
18. 18.True or false: “examples of every type” is good for training a model. (a) True (b) False
19. 19.True or false: a video app suggesting what to watch next is AI generating something new. (a) True (b) False
20. 20.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
21. 21.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
23. 23.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
24. 24.Which of these describes how AI works? (a) handles unseen examples (b) one set rule per case (c) follows fixed rules (d) does exactly as coded
25. 25.🔍 Which is the odd one out? (a) reading number plates (b) drafting a letter (c) suggesting a video (d) spotting spam
26. 26.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
27. 27.True or false: “old emails marked spam” is the model. (a) False (b) True
28. 28.Which of these describes how AI works? (a) gives a likely answer (b) follows fixed rules (c) never learns from data (d) uses rules people wrote
29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
30. 30.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
31. 31.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
32. 32.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
33. 33.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) suggesting a video (d) spotting spam
34. 34.Which of these is not AI? (a) a fan regulator (b) an image generator (c) face unlock on a phone (d) a map predicting traffic
35. 35.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
36. 36.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
37. 37.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
38. 38.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
39. 39.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
40. 40.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact

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