AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 230 · 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: “AI has real feelings” is a fact about AI. (a) True (b) False
2. 2.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
3. 3.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
4. 4.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
5. 5.Which of these is not AI? (a) face unlock on a phone (b) a digital watch (c) video suggestions (d) a spam filter
6. 6.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
7. 7.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) tomorrow’s rain guess (d) old emails marked spam
8. 8.True or false: “labelled fruit photos” is the model. (a) False (b) True
9. 9.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
10. 10.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a broken screen (c) a fair model (d) a strong battery
11. 11.🐶 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) many labelled photos (d) a song about dogs
12. 12.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) composing a new tune (d) predicting rain
14. 14.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
15. 15.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
16. 16.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
17. 17.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
18. 18.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) wrong labels (d) many varied examples
19. 19.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
20. 20.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
21. 21.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
22. 22.Which of these describes how AI works? (a) makes a best guess (b) follows fixed rules (c) one set rule per case (d) never learns from data
23. 23.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) inventing a recipe (c) spotting spam (d) creating a cartoon
24. 24.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
25. 25.Which of these describes how AI works? (a) never learns from data (b) handles unseen examples (c) does exactly as coded (d) follows fixed rules
26. 26.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
27. 27.True or false: “makes a best guess” describes how AI works. (a) False (b) True
28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) False (b) True
29. 29.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) share it online (d) trust the AI
30. 30.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
31. 31.Which of these uses AI? (a) a fan regulator (b) a doorbell (c) voice typing (d) a torch
32. 32.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
33. 33.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
34. 34.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
35. 35.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) copies of one photo (d) checking labels twice
36. 36.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
37. 37.Which of these uses AI? (a) an image generator (b) a kitchen weighing scale (c) a doorbell (d) a stopwatch
38. 38.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a hallucination (d) a summary
39. 39.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
40. 40.Which of these is bad for training a model? (a) clear, sharp examples (b) only one kind of example (c) new data for testing (d) photos in many lights

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