AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 543 · 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.Which of these helps reduce bias? (a) check who is missing (b) skip testing (c) test on one group only (d) use one group only
2. 2.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
3. 3.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
4. 4.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) wrong labels (d) photos in many lights
5. 5.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
6. 6.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
7. 7.Which of these is a fact about AI? (a) AI has real feelings (b) confident means correct (c) AI always checks facts (d) AI learns from data
8. 8.🔍 Which is the odd one out? (a) face unlock on a phone (b) voice typing (c) an image generator (d) a printed timetable
9. 9.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
10. 10.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
11. 11.Which of these helps reduce bias? (a) skip testing (b) add varied examples (c) copy old unfair choices (d) add more of the same
12. 12.Which of these is the model? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) what training builds
13. 13.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
14. 14.Which of these is a myth about AI? (a) AI is never wrong (b) AI can mix up numbers (c) AI can make up facts (d) AI learns from data
15. 15.Which of these is training data? (a) typing a new spoken word (b) the trained program (c) old emails marked spam (d) the learned patterns
16. 16.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
17. 17.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
18. 18.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
19. 19.True or false: “testing on training data” is good for training a model. (a) False (b) True
20. 20.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) only on weekends (d) yes, just like us
21. 21.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
22. 22.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
23. 23.True or false: “improves with more data” describes how AI works. (a) False (b) True
24. 24.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
25. 25.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
26. 26.Which of these is a prediction? (a) past weather records (b) labelled fruit photos (c) the trained program (d) naming a new leaf
27. 27.Which of these is generative AI (it makes something new)? (a) spotting spam (b) inventing a recipe (c) reading number plates (d) unlocking with a face
28. 28.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) AI learns from data (b) AI can be wrong (c) long answers are true (d) AI can make up facts
30. 30.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
31. 31.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI copies data patterns (d) confident means correct
32. 32.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
33. 33.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) confident means correct (d) AI can be wrong
34. 34.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
35. 35.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) generating (c) predicting (d) recommending
36. 36.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
37. 37.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) a sticker on a laptop (d) the right answer tag
38. 38.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) balance the data
39. 39.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
40. 40.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data

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