AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 46 · 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 of these is bad for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) new data for testing (d) many varied examples
2. 2.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
3. 3.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
4. 4.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
5. 5.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
6. 6.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
7. 7.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
8. 8.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) suggesting a video (d) drawing a new picture
9. 9.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
10. 10.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
11. 11.🔍 Which is the odd one out? (a) drafting a letter (b) unlocking with a face (c) suggesting a video (d) predicting rain
12. 12.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
13. 13.Which of these describes how AI works? (a) handles unseen examples (b) follows fixed rules (c) one set rule per case (d) uses rules people wrote
14. 14.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
15. 15.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can be wrong (c) confident means correct (d) AI knows everything
16. 16.True or false: “the learned patterns” is training data. (a) True (b) False
17. 17.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
18. 18.Which of these is not AI? (a) photos grouped by face (b) a doorbell (c) video suggestions (d) a voice assistant
19. 19.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) data, prediction, model (d) prediction, data, model
20. 20.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) voice typing (d) a spam filter
21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) ask different people (c) test on one group only (d) skip testing
22. 22.Which of these is training data? (a) naming a new fruit photo (b) the learned patterns (c) naming a new leaf (d) old emails marked spam
23. 23.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
24. 24.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
25. 25.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
26. 26.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
27. 27.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
28. 28.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
29. 29.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) ask different people (d) use one group only
30. 30.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a fair model (c) bias from data (d) a broken screen
33. 33.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
35. 35.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
36. 36.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
37. 37.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
38. 38.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
39. 39.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
40. 40.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program

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