AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 21 · 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 bad for training a model? (a) checking labels twice (b) correct labels (c) examples of every type (d) very few examples
2. 2.Which of these is not AI? (a) a spam filter (b) a map predicting traffic (c) a doorbell (d) a voice assistant
3. 3.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting a sick leaf (c) reading number plates (d) drafting a letter
4. 4.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) guess (d) look in your textbook
5. 5.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) predicting rain (b) creating a cartoon (c) writing quiz questions (d) writing a new poem
7. 7.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
8. 8.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) use one group only (d) ignore complaints
9. 9.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) reading number plates (c) creating a cartoon (d) composing a new tune
11. 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
12. 12.Which of these is good for training a model? (a) only one kind of example (b) labels added at random (c) copies of one photo (d) photos in many lights
13. 13.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) add more of the same (d) ask different people
15. 15.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
16. 16.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
17. 17.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) labelled fruit photos (d) tomorrow’s rain guess
18. 18.True or false: turning your spoken words into typed text is AI generating something new. (a) False (b) True
19. 19.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
21. 21.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
22. 22.Which of these is training data? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) the learned patterns
23. 23.True or false: “many varied examples” is bad for training a model. (a) True (b) False
24. 24.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
25. 25.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI can make up facts (d) AI knows everything
26. 26.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) False (b) True
27. 27.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
28. 28.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) long answers are true (b) AI copies data patterns (c) AI is never wrong (d) AI has real feelings
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
31. 31.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
32. 32.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
33. 33.🔍 Which is the odd one out? (a) an image generator (b) an app translating signs (c) voice typing (d) a kitchen weighing scale
34. 34.Which of these is generative AI (it makes something new)? (a) reading number plates (b) making up a story (c) sorting photos by face (d) predicting rain
35. 35.✅ Is this a real check of an AI answer: it has a neat layout? (a) not a real check (b) a real check
36. 36.True or false: “use one group only” helps reduce bias. (a) True (b) False
37. 37.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
38. 38.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
39. 39.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) naming a new leaf (d) labelled fruit photos
40. 40.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop

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