AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 873 · 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: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) add more of the same (d) add varied examples
3. 3.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
4. 4.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
5. 5.True or false: “test on many groups” adds to bias. (a) True (b) False
6. 6.Which of these describes how a normal program works? (a) makes a best guess (b) does exactly as coded (c) gives a likely answer (d) spots patterns in data
7. 7.⏩ In machine learning, which comes first: 500 labelled leaf photos or flagging a new email? (a) 500 labelled leaf photos (b) flagging a new email
8. 8.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
9. 9.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
10. 10.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
11. 11.Which of these is not AI? (a) a voice assistant (b) a microwave timer (c) an image generator (d) photos grouped by face
12. 12.Which of these describes how a normal program works? (a) makes a best guess (b) one set rule per case (c) improves with more data (d) learns from examples
13. 13.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
14. 14.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
15. 15.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
16. 16.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
17. 17.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
18. 18.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
19. 19.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
20. 20.Which of these is generative AI (it makes something new)? (a) predicting rain (b) turning speech to text (c) reading number plates (d) writing a new poem
21. 21.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
22. 22.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) clear, sharp examples (d) copies of one photo
23. 23.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to see if it works (d) to change its name
24. 24.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
25. 25.Which of these describes how AI works? (a) gives a likely answer (b) uses rules people wrote (c) follows fixed rules (d) does exactly as coded
26. 26.Which of these is training data? (a) old emails marked spam (b) typing a new spoken word (c) what training builds (d) the learned patterns
27. 27.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
28. 28.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
29. 29.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
30. 30.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
31. 31.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
33. 33.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) reading number plates (b) turning speech to text (c) sorting photos by face (d) drawing a new picture
35. 35.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
36. 36.🔍 Which is the odd one out? (a) face unlock on a phone (b) photos grouped by face (c) an AI chatbot (d) a torch
37. 37.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drawing a new picture (c) writing a new poem (d) unlocking with a face
39. 39.True or false: “a cheerful tune for Sports Day” asks for an image. (a) True (b) False
40. 40.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth

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