AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 210 · 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: “examples of every type” is good for training a model. (a) False (b) True
2. 2.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
3. 3.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
4. 4.Which of these is a myth about AI? (a) AI can make up facts (b) AI always checks facts (c) AI learns from data (d) AI can be wrong
5. 5.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
7. 7.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
8. 8.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI has real feelings (c) AI can be wrong (d) AI answers need checking
9. 9.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recognising (b) recommending (c) generating (d) predicting
10. 10.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
11. 11.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) your password (d) a text description
12. 12.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) test on one group only (d) add varied examples
13. 13.True or false: “balance the data” helps reduce bias. (a) False (b) True
14. 14.Which of these is a fact about AI? (a) AI can make up facts (b) AI is never wrong (c) AI has real feelings (d) confident means correct
15. 15.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
16. 16.Which of these is not AI? (a) a microwave timer (b) an AI chatbot (c) a map predicting traffic (d) face unlock on a phone
17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
18. 18.True or false: “correct labels” is good for training a model. (a) False (b) True
19. 19.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
20. 20.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) copy old unfair choices (d) add more of the same
21. 21.True or false: “correct labels” is bad for training a model. (a) False (b) True
22. 22.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
23. 23.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
24. 24.Which of these describes how a normal program works? (a) handles unseen examples (b) does exactly as coded (c) gives a likely answer (d) makes a best guess
25. 25.Which of these is bad for training a model? (a) new data for testing (b) only one kind of example (c) photos in many lights (d) many varied examples
26. 26.Which of these is bad for training a model? (a) correct labels (b) many varied examples (c) clear, sharp examples (d) labels added at random
27. 27.Which of these is good for training a model? (a) testing on training data (b) very few examples (c) correct labels (d) copies of one photo
28. 28.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
29. 29.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
30. 30.🔍 Which is the odd one out? (a) a fan regulator (b) an AI chatbot (c) a voice assistant (d) photos grouped by face
31. 31.True or false: “a poster of a rainforest” asks for text. (a) False (b) True
32. 32.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
33. 33.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
34. 34.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) music or sound (c) text
35. 35.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it charges up (d) it learns patterns
36. 36.Which of these is bad for training a model? (a) photos in many lights (b) blurry, unclear photos (c) new data for testing (d) clear, sharp examples
37. 37.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) does exactly as coded (d) improves with more data
38. 38.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
39. 39.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
40. 40.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False

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