AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 308 · 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) check who is missing (b) ask different people (c) add more of the same (d) add varied examples
2. 2.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) drafting a letter (c) spotting a sick leaf (d) writing a new poem
4. 4.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
5. 5.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
6. 6.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
7. 7.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
8. 8.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
9. 9.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
10. 10.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) add more of the same (d) use one group only
11. 11.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
12. 12.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recognising (c) generating (d) recommending
13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
14. 14.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) learns from examples (d) never learns from data
15. 15.Which of these is bad for training a model? (a) checking labels twice (b) very few examples (c) new data for testing (d) examples of every type
16. 16.Which of these is good for training a model? (a) blurry, unclear photos (b) labels added at random (c) photos in many lights (d) very few examples
17. 17.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
18. 18.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
19. 19.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
20. 20.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
21. 21.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) recommending (c) predicting (d) recognising
22. 22.Which of these uses AI? (a) a spam filter (b) a calculator (c) a fan regulator (d) a digital watch
23. 23.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
24. 24.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
25. 25.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
26. 26.Which of these describes how a normal program works? (a) improves with more data (b) same steps every time (c) handles unseen examples (d) learns from examples
27. 27.Which of these is good for training a model? (a) very few examples (b) new data for testing (c) wrong labels (d) testing on training data
28. 28.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
29. 29.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
30. 30.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
31. 31.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
32. 32.Which of these is training data? (a) tomorrow’s rain guess (b) recorded spoken words (c) what training builds (d) the trained program
33. 33.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
34. 34.🔍 Which is the odd one out? (a) only one kind of example (b) correct labels (c) examples of every type (d) new data for testing
35. 35.True or false: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
36. 36.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
37. 37.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
38. 38.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
39. 39.Which of these uses AI? (a) an app translating signs (b) a digital watch (c) a doorbell (d) a stopwatch
40. 40.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word

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