AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 475 · 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 is the odd one out? (a) balance the data (b) use one group only (c) ignore complaints (d) skip testing
2. 2.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) very few examples (d) wrong labels
3. 3.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) correct labels (d) new data for testing
4. 4.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
5. 5.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recognising (c) predicting (d) recommending
6. 6.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
7. 7.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
8. 8.True or false: “test on one group only” helps reduce bias. (a) False (b) True
9. 9.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) text (c) an image
10. 10.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
11. 11.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it is always right (d) it uses electricity
12. 12.True or false: turning your spoken words into typed text is AI generating something new. (a) True (b) False
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
14. 14.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI can be wrong (d) AI knows everything
15. 15.Which of these is a myth about AI? (a) AI learns from data (b) AI answers need checking (c) AI knows everything (d) AI can be wrong
16. 16.Which of these is the model? (a) the trained program (b) old emails marked spam (c) naming a new fruit photo (d) tomorrow’s rain guess
17. 17.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
18. 18.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
19. 19.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
20. 20.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will turn yellow (c) it may get it wrong (d) it will shut down
21. 21.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) never learns from data (d) spots patterns in data
22. 22.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
23. 23.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
24. 24.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
25. 25.Which of these is bad for training a model? (a) photos in many lights (b) very few examples (c) many varied examples (d) examples of every type
26. 26.True or false: “long answers are true” is a fact about AI. (a) False (b) True
27. 27.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
28. 28.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
29. 29.🔍 Which is the odd one out? (a) only one kind of example (b) examples of every type (c) photos in many lights (d) checking labels twice
30. 30.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
31. 31.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
32. 32.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
33. 33.🔍 Which is the odd one out? (a) wrong labels (b) testing on training data (c) labels added at random (d) clear, sharp examples
34. 34.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) yes, it gets sad (d) only on weekends
35. 35.Which of these is good for training a model? (a) clear, sharp examples (b) only one kind of example (c) wrong labels (d) labels added at random
36. 36.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
37. 37.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
38. 38.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) text (b) an image (c) music or sound
39. 39.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
40. 40.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) predicting (c) generating (d) recognising

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