AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 348 · 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.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
2. 2.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) forget everything (d) better at its task
3. 3.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
4. 4.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
6. 6.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
7. 7.🔍 Which is the odd one out? (a) skip testing (b) add varied examples (c) ask different people (d) fix wrong labels
8. 8.Which of these helps reduce bias? (a) ask different people (b) copy old unfair choices (c) test on one group only (d) add more of the same
9. 9.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
10. 10.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
11. 11.Which of these describes how AI works? (a) makes a best guess (b) follows fixed rules (c) one set rule per case (d) never learns from data
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) 500 labelled leaf photos (c) old emails marked spam (d) typing a new spoken word
13. 13.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
14. 14.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
15. 15.🔍 Which is the odd one out? (a) AI can be wrong (b) AI is never wrong (c) AI answers need checking (d) AI can make up facts
16. 16.Which of these is bad for training a model? (a) examples of every type (b) testing on training data (c) clear, sharp examples (d) checking labels twice
17. 17.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
18. 18.🔍 Which is the odd one out? (a) a map predicting traffic (b) a light switch (c) a calculator (d) a printed timetable
19. 19.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
20. 20.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
21. 21.🔍 Which is the odd one out? (a) photos in many lights (b) examples of every type (c) copies of one photo (d) clear, sharp examples
22. 22.Which of these is training data? (a) past weather records (b) what training builds (c) the learned patterns (d) the trained program
23. 23.True or false: “a poster of a rainforest” asks for an image. (a) False (b) True
24. 24.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
25. 25.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
26. 26.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
27. 27.🔍 Which is the odd one out? (a) spotting spam (b) suggesting a video (c) drafting a letter (d) spotting a sick leaf
28. 28.Which of these is a myth about AI? (a) AI answers need checking (b) confident means correct (c) AI copies data patterns (d) AI learns from data
29. 29.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
30. 30.True or false: “tomorrow’s rain guess” is a prediction. (a) False (b) True
31. 31.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) training data (c) the model
32. 32.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) AI answers need checking (d) AI always checks facts
33. 33.🔍 Which is the odd one out? (a) drawing a new picture (b) predicting rain (c) turning speech to text (d) sorting photos by face
34. 34.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) inventing a recipe (c) spotting spam (d) suggesting a video
35. 35.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
36. 36.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) tomorrow’s rain guess (d) 500 labelled leaf photos
37. 37.True or false: “recorded spoken words” is the model. (a) True (b) False
38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) composing a new tune (c) drawing a new picture (d) drafting a letter
39. 39.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
40. 40.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes

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