AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 471 · 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: “tomorrow’s rain guess” is a prediction. (a) True (b) False
2. 2.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
3. 3.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
4. 4.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
5. 5.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will turn yellow (d) it will shut down
6. 6.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
7. 7.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) photos in many lights (d) correct labels
8. 8.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
9. 9.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) many labelled photos (d) one single photo
10. 10.Which of these is a fact about AI? (a) AI can be wrong (b) AI is never wrong (c) AI always checks facts (d) AI knows everything
11. 11.Which of these helps reduce bias? (a) fix wrong labels (b) copy old unfair choices (c) add more of the same (d) test on one group only
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
13. 13.Which of these is good for training a model? (a) copies of one photo (b) new data for testing (c) only one kind of example (d) wrong labels
14. 14.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
15. 15.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a label (d) a password
16. 16.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
18. 18.True or false: a music app suggesting a song you may like is AI generating something new. (a) True (b) False
19. 19.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
20. 20.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
21. 21.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) gives a likely answer (d) does exactly as coded
22. 22.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
23. 23.Which of these is training data? (a) flagging a new email (b) labelled fruit photos (c) the learned patterns (d) typing a new spoken word
24. 24.⏩ In machine learning, which comes first: old emails marked spam or typing a new spoken word? (a) old emails marked spam (b) typing a new spoken word
25. 25.True or false: “testing on training data” is bad for training a model. (a) True (b) False
26. 26.Which of these adds to bias? (a) use one group only (b) check who is missing (c) test on many groups (d) add varied examples
27. 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) drawing a new picture (c) unlocking with a face (d) making up a story
28. 28.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
29. 29.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
30. 30.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) music or sound (b) an image (c) text
31. 31.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
32. 32.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
33. 33.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
34. 34.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
35. 35.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
36. 36.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) no, it finds patterns (d) yes, it gets sad
37. 37.True or false: “ask different people” adds to bias. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) add varied examples (d) fix wrong labels
39. 39.🔍 Which is the odd one out? (a) voice typing (b) a microwave timer (c) a calculator (d) a doorbell
40. 40.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction

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