AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 649 · 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: “uses rules people wrote” describes how a normal program works. (a) False (b) True
2. 2.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
3. 3.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
4. 4.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a battery (d) a prompt
5. 5.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
7. 7.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
8. 8.Which of these is a prediction? (a) the trained program (b) labelled fruit photos (c) tomorrow’s rain guess (d) old emails marked spam
9. 9.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
10. 10.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) many varied examples (d) photos in many lights
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
13. 13.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) follows fixed rules (d) learns from examples
14. 14.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
15. 15.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) only one kind of example (d) examples of every type
16. 16.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can be wrong (c) confident means correct (d) AI always checks facts
17. 17.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
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 of these helps reduce bias? (a) test on one group only (b) skip testing (c) use one group only (d) check who is missing
20. 20.Which of these is good for training a model? (a) wrong labels (b) many varied examples (c) very few examples (d) copies of one photo
21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) a prediction (c) the model
22. 22.True or false: “test on one group only” adds to bias. (a) False (b) True
23. 23.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
24. 24.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
25. 25.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
26. 26.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
27. 27.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
29. 29.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
30. 30.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) clear, sharp examples (d) correct labels
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
32. 32.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it can think (d) yes, it is smart
33. 33.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
34. 34.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
35. 35.Which of these describes how a normal program works? (a) does exactly as coded (b) improves with more data (c) spots patterns in data (d) gives a likely answer
36. 36.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
37. 37.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
38. 38.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) naming a new leaf (d) labelled fruit photos
39. 39.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
40. 40.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True

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