AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 166 · 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.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
2. 2.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
3. 3.Which of these helps reduce bias? (a) add varied examples (b) add more of the same (c) use one group only (d) skip testing
4. 4.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
5. 5.Which of these is a fact about AI? (a) confident means correct (b) AI can make up facts (c) AI knows everything (d) AI has real feelings
6. 6.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
7. 7.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) generating (b) recognising (c) recommending (d) predicting
8. 8.🔍 Which is the odd one out? (a) labels added at random (b) correct labels (c) checking labels twice (d) new data for testing
9. 9.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) copies of one photo (d) correct labels
10. 10.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) fix wrong labels (d) check who is missing
11. 11.Which of these uses AI? (a) a spam filter (b) a fan regulator (c) a digital watch (d) a doorbell
12. 12.Which of these is not AI? (a) face unlock on a phone (b) a map predicting traffic (c) an app translating signs (d) a light switch
13. 13.True or false: “same steps every time” describes how AI works. (a) True (b) False
14. 14.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
15. 15.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
16. 16.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
17. 17.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
18. 18.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it uses electricity (d) it is always right
19. 19.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI can make up facts (d) AI knows everything
20. 20.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
21. 21.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) music or sound (c) text
22. 22.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
23. 23.🔍 Which is the odd one out? (a) inventing a recipe (b) spotting a sick leaf (c) turning speech to text (d) spotting spam
24. 24.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
25. 25.Which of these is a prediction? (a) the learned patterns (b) tomorrow’s rain guess (c) the trained program (d) recorded spoken words
26. 26.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI always checks facts (c) AI can make up facts (d) AI can be wrong
27. 27.True or false: “long answers are true” is a myth about AI. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) copies of one photo (d) very few examples
29. 29.True or false: “correct labels” is good for training a model. (a) False (b) True
30. 30.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
31. 31.True or false: a book app suggesting a story like your last one is AI recognising something. (a) True (b) False
32. 32.True or false: “500 labelled leaf photos” is a prediction. (a) True (b) False
33. 33.Which of these is the model? (a) tomorrow’s rain guess (b) labelled fruit photos (c) the learned patterns (d) naming a new fruit photo
34. 34.🔍 Which is the odd one out? (a) spotting a sick leaf (b) sorting photos by face (c) making up a story (d) unlocking with a face
35. 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
36. 36.🔍 Which is the odd one out? (a) AI knows everything (b) AI can mix up numbers (c) AI has real feelings (d) AI always checks facts
37. 37.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
38. 38.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
39. 39.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
40. 40.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True

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