AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 721 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
2. 2.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
3. 3.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI is never wrong (d) AI can make up facts
4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
5. 5.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI can make up facts (d) AI always checks facts
6. 6.⏩ In machine learning, which comes first: what training builds or naming a new leaf? (a) what training builds (b) naming a new leaf
7. 7.True or false: “a cartoon of a dancing elephant” asks for text. (a) False (b) True
8. 8.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
9. 9.Which of these is not AI? (a) a spam filter (b) an image generator (c) a digital watch (d) face unlock on a phone
10. 10.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
11. 11.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
12. 12.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
13. 13.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
14. 14.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) voice typing (d) a basic calculator
15. 15.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
17. 17.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
18. 18.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
19. 19.Which of these is good for training a model? (a) examples of every type (b) blurry, unclear photos (c) very few examples (d) labels added at random
20. 20.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
21. 21.🔍 Which is the odd one out? (a) confident means correct (b) AI copies data patterns (c) AI has real feelings (d) long answers are true
22. 22.True or false: “only one kind of example” is good for training a model. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
24. 24.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) predicting (d) drawing
25. 25.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
26. 26.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) recognising (c) predicting (d) generating
27. 27.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
28. 28.Which of these describes how a normal program works? (a) improves with more data (b) never learns from data (c) gives a likely answer (d) learns from examples
29. 29.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
30. 30.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
31. 31.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
32. 32.🛠️ Does this reduce bias or add to it: test on many groups? (a) reduces bias (b) adds to bias
33. 33.True or false: “recorded spoken words” is training data. (a) False (b) True
34. 34.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
35. 35.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
36. 36.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
37. 37.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
38. 38.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
39. 39.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) text (c) an image
40. 40.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos

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