AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 828 · 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: photos of people from only one age group is one-sided data (likely to make a biased model). (a) False (b) True
2. 2.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
3. 3.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
4. 4.Which of these is a prediction? (a) the trained program (b) naming a new leaf (c) 500 labelled leaf photos (d) the learned patterns
5. 5.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recognising (c) predicting (d) recommending
6. 6.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it has a screen (c) it uses electricity (d) it learns from examples
7. 7.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
8. 8.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
10. 10.True or false: “wrong labels” is bad for training a model. (a) False (b) True
11. 11.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
12. 12.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
13. 13.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
14. 14.🔍 Which is the odd one out? (a) writing a new poem (b) sorting photos by face (c) writing quiz questions (d) composing a new tune
15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a list of rules only (c) many labelled photos (d) a song about dogs
16. 16.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a prompt (d) a password
17. 17.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
18. 18.Which of these is the model? (a) past weather records (b) flagging a new email (c) the trained program (d) old emails marked spam
19. 19.True or false: “the trained program” is a prediction. (a) True (b) False
20. 20.Which of these is training data? (a) the trained program (b) typing a new spoken word (c) labelled fruit photos (d) naming a new leaf
21. 21.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
22. 22.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
23. 23.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
24. 24.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
25. 25.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
26. 26.Which of these is a fact about AI? (a) AI knows everything (b) AI learns from data (c) AI always checks facts (d) AI is never wrong
27. 27.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recognising (c) generating (d) recommending
28. 28.True or false: “the learned patterns” is training data. (a) False (b) True
29. 29.Which of these describes how a normal program works? (a) learns from examples (b) same steps every time (c) improves with more data (d) handles unseen examples
30. 30.Which of these helps reduce bias? (a) skip testing (b) add more of the same (c) copy old unfair choices (d) check who is missing
31. 31.🏷️ 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
32. 32.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) AI is never wrong (d) AI can make up facts
33. 33.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
34. 34.🔍 Which is the odd one out? (a) a digital watch (b) an app translating signs (c) photos grouped by face (d) face unlock on a phone
35. 35.🔍 Which is the odd one out? (a) a microwave timer (b) face unlock on a phone (c) an image generator (d) voice typing
36. 36.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
37. 37.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
38. 38.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
39. 39.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
40. 40.Which of these is training data? (a) the learned patterns (b) naming a new fruit photo (c) 500 labelled leaf photos (d) naming a new leaf

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