AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 100 · 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 a prediction? (a) recorded spoken words (b) naming a new leaf (c) 500 labelled leaf photos (d) old emails marked spam
2. 2.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
3. 3.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
5. 5.True or false: “learns from examples” describes how AI works. (a) False (b) True
6. 6.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) change colour (d) slower to switch on
7. 7.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
8. 8.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
9. 9.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
10. 10.Which of these uses AI? (a) an image generator (b) a calculator (c) a light switch (d) a torch
11. 11.🔍 Which is the odd one out? (a) AI can mix up numbers (b) confident means correct (c) AI answers need checking (d) AI learns from data
12. 12.Which of these is bad for training a model? (a) new data for testing (b) checking labels twice (c) testing on training data (d) many varied examples
13. 13.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) AI has real feelings (d) AI answers need checking
14. 14.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
15. 15.🔍 Which is the odd one out? (a) voice typing (b) face unlock on a phone (c) a fan regulator (d) a voice assistant
16. 16.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
18. 18.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
19. 19.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
20. 20.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
21. 21.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
22. 22.🔍 Which is the odd one out? (a) checking labels twice (b) wrong labels (c) very few examples (d) only one kind of example
23. 23.🔍 Which is the odd one out? (a) new data for testing (b) clear, sharp examples (c) many varied examples (d) blurry, unclear photos
24. 24.Which of these is training data? (a) the trained program (b) what training builds (c) old emails marked spam (d) the learned patterns
25. 25.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) examples of every type (d) checking labels twice
26. 26.Which of these helps reduce bias? (a) skip testing (b) test on one group only (c) ignore complaints (d) test on many groups
27. 27.True or false: “makes a best guess” describes how AI works. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
29. 29.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
30. 30.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) add varied examples (b) use one group only (c) test on one group only (d) skip testing
32. 32.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
33. 33.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a basic calculator (d) a spam filter
34. 34.Which of these is good for training a model? (a) only one kind of example (b) photos in many lights (c) wrong labels (d) very few examples
35. 35.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) recommending (c) predicting (d) generating
36. 36.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
37. 37.Which of these is good for training a model? (a) labels added at random (b) correct labels (c) very few examples (d) testing on training data
38. 38.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
40. 40.True or false: “ask different people” helps reduce bias. (a) True (b) False

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