AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 243 · 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 is the model? (a) flagging a new email (b) old emails marked spam (c) the learned patterns (d) labelled fruit photos
2. 2.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) trust the textbook (d) share it online
3. 3.✨ What does generative AI do? (a) only stores files (b) makes new content (c) only adds numbers (d) charges batteries
4. 4.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI answers need checking (d) AI always checks facts
5. 5.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its training data (c) the weather (d) its screen size
6. 6.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
7. 7.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a hallucination (d) a backup
8. 8.True or false: “examples of every type” is bad for training a model. (a) False (b) True
9. 9.Which of these is a prediction? (a) recorded spoken words (b) 500 labelled leaf photos (c) naming a new fruit photo (d) past weather records
10. 10.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
11. 11.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
12. 12.True or false: an AI chatbot writing a story about a lost kite is AI recognising something. (a) False (b) True
13. 13.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) printing (d) recommending
14. 14.🔍 Which is the odd one out? (a) labels added at random (b) only one kind of example (c) very few examples (d) clear, sharp examples
15. 15.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
16. 16.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
17. 17.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
18. 18.True or false: a book app suggesting a story like your last one is AI recognising something. (a) False (b) True
19. 19.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) generating (c) recognising (d) predicting
20. 20.True or false: “new data for testing” is bad for training a model. (a) True (b) False
21. 21.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
22. 22.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
23. 23.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
24. 24.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
25. 25.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) only one kind of example (d) clear, sharp examples
27. 27.Which of these adds to bias? (a) balance the data (b) fix wrong labels (c) test on one group only (d) test on many groups
28. 28.🔍 Which is the odd one out? (a) composing a new tune (b) creating a cartoon (c) writing quiz questions (d) spotting a sick leaf
29. 29.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
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.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
32. 32.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
33. 33.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
34. 34.True or false: “correct labels” is good for training a model. (a) False (b) True
35. 35.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
36. 36.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) copy old unfair choices (d) use one group only
37. 37.Which of these uses AI? (a) a spam filter (b) a kitchen weighing scale (c) a doorbell (d) a printed timetable
38. 38.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
39. 39.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will turn yellow (c) it will shut down (d) it will be perfect
40. 40.True or false: “recorded spoken words” is training data. (a) False (b) True

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