AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 344 · 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 does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
2. 2.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) suggesting a video (c) turning speech to text (d) drawing a new picture
3. 3.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
4. 4.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
5. 5.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
6. 6.Which of these adds to bias? (a) check who is missing (b) use one group only (c) balance the data (d) add varied examples
7. 7.True or false: “learns from examples” describes how AI works. (a) True (b) False
8. 8.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recognising (b) recommending (c) generating (d) predicting
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
10. 10.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
11. 11.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) suggesting a video (c) inventing a recipe (d) composing a new tune
12. 12.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) labels added at random (d) photos in many lights
13. 13.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
14. 14.🔍 Which is the odd one out? (a) copies of one photo (b) very few examples (c) correct labels (d) labels added at random
15. 15.Which of these uses AI? (a) voice typing (b) a printed timetable (c) a torch (d) a doorbell
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
17. 17.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) predicting (c) recommending (d) generating
18. 18.🔍 Which is the odd one out? (a) AI knows everything (b) AI copies data patterns (c) AI is never wrong (d) confident means correct
19. 19.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
20. 20.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
21. 21.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) add more of the same
22. 22.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) one set rule per case (d) learns from examples
23. 23.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
25. 25.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
26. 26.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
27. 27.🔍 Which is the odd one out? (a) very few examples (b) many varied examples (c) wrong labels (d) testing on training data
28. 28.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
29. 29.Which of these is not AI? (a) face unlock on a phone (b) an image generator (c) a spam filter (d) a light switch
30. 30.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) AI can be wrong (b) AI learns from data (c) AI can make up facts (d) AI always checks facts
32. 32.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
33. 33.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) music or sound (c) an image
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
35. 35.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
36. 36.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
37. 37.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
38. 38.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
39. 39.True or false: “fix wrong labels” adds to bias. (a) True (b) False
40. 40.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) sleeping (d) drawing

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