AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 352 · 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.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
2. 2.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) suggesting a video (c) predicting rain (d) turning speech to text
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing quiz questions (c) drafting a letter (d) spotting a sick leaf
4. 4.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
5. 5.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) learns from examples (d) uses rules people wrote
6. 6.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
7. 7.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
8. 8.🎨 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
9. 9.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its training data (d) its colour
10. 10.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
11. 11.🔍 Which is the odd one out? (a) making up a story (b) spotting spam (c) composing a new tune (d) drawing a new picture
12. 12.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing quiz questions (c) drawing a new picture (d) writing a new poem
13. 13.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) uses magic (d) copies one website
14. 14.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
15. 15.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
16. 16.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
17. 17.🔍 Which is the odd one out? (a) long answers are true (b) AI always checks facts (c) AI has real feelings (d) AI can mix up numbers
18. 18.Which of these describes how a normal program works? (a) makes a best guess (b) does exactly as coded (c) improves with more data (d) spots patterns in data
19. 19.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
20. 20.🔍 Which is the odd one out? (a) testing on training data (b) only one kind of example (c) examples of every type (d) labels added at random
21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) ignore complaints (c) add varied examples (d) use one group only
22. 22.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
23. 23.Which of these is not AI? (a) face unlock on a phone (b) voice typing (c) photos grouped by face (d) a kitchen weighing scale
24. 24.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
25. 25.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
26. 26.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) new data for testing (d) copies of one photo
27. 27.True or false: “test on one group only” adds to bias. (a) True (b) False
28. 28.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
29. 29.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
30. 30.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
31. 31.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
32. 32.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
33. 33.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) False (b) True
34. 34.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) suggesting a video (c) spotting a sick leaf (d) writing quiz questions
35. 35.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
36. 36.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
37. 37.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
38. 38.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
39. 39.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
40. 40.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam

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