AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 612 · 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: “old emails marked spam” is the model. (a) False (b) True
2. 2.Which of these is training data? (a) tomorrow’s rain guess (b) naming a new leaf (c) old emails marked spam (d) what training builds
3. 3.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
4. 4.🔍 Which is the odd one out? (a) a stopwatch (b) voice typing (c) a digital watch (d) a torch
5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) unlocking with a face (d) writing quiz questions
6. 6.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a spam filter (c) an app translating signs (d) face unlock on a phone
7. 7.Which of these is bad for training a model? (a) testing on training data (b) many varied examples (c) photos in many lights (d) checking labels twice
8. 8.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
9. 9.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
10. 10.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
11. 11.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) very few examples (d) examples of every type
12. 12.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) people (d) the Moon
13. 13.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) makes new content (d) only stores files
14. 14.Which of these is the model? (a) typing a new spoken word (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
15. 15.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
16. 16.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) copies of one photo (d) wrong labels
17. 17.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: 500 labelled leaf photos or the trained program? (a) 500 labelled leaf photos (b) the trained program
19. 19.🧮 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
20. 20.True or false: “a soft lullaby melody” asks for music or sound. (a) False (b) True
21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) balance the data (c) use one group only (d) skip testing
22. 22.Which of these describes how AI works? (a) learns from examples (b) follows fixed rules (c) one set rule per case (d) same steps every time
23. 23.True or false: “testing on training data” is good for training a model. (a) True (b) False
24. 24.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
25. 25.True or false: “photos in many lights” is good for training a model. (a) True (b) False
26. 26.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
27. 27.Which of these is the model? (a) labelled fruit photos (b) naming a new leaf (c) the trained program (d) 500 labelled leaf photos
28. 28.🔍 Which is the odd one out? (a) AI can make up facts (b) AI is never wrong (c) AI knows everything (d) AI always checks facts
29. 29.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
30. 30.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
31. 31.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can make up facts (c) AI can mix up numbers (d) AI answers need checking
32. 32.True or false: “correct labels” is good for training a model. (a) True (b) False
33. 33.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
34. 34.Which of these is bad for training a model? (a) new data for testing (b) photos in many lights (c) many varied examples (d) very few examples
35. 35.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
36. 36.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
37. 37.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) one set rule per case (d) spots patterns in data
38. 38.Which of these is AI that sorts, spots or predicts (not generative)? (a) suggesting a video (b) inventing a recipe (c) making up a story (d) writing a new poem
39. 39.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recognising (c) recommending (d) predicting
40. 40.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)

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