AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 792 · 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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
2. 2.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
3. 3.True or false: a phone unlocking when it sees your face is AI recognising something. (a) False (b) True
4. 4.True or false: “testing on training data” is bad for training a model. (a) True (b) False
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
6. 6.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI answers need checking (d) AI always checks facts
7. 7.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
8. 8.Which of these is good for training a model? (a) very few examples (b) photos in many lights (c) testing on training data (d) only one kind of example
9. 9.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) fix wrong labels (d) skip testing
10. 10.🔍 Which is the odd one out? (a) AI can be wrong (b) AI always checks facts (c) AI can mix up numbers (d) AI can make up facts
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
12. 12.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
13. 13.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
14. 14.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) correct labels (d) blurry, unclear photos
15. 15.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
16. 16.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
17. 17.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a text description (d) a phone number
18. 18.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
20. 20.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) inventing a recipe (c) turning speech to text (d) writing quiz questions
21. 21.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
22. 22.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
23. 23.🔍 Which is the odd one out? (a) skip testing (b) test on many groups (c) fix wrong labels (d) check who is missing
24. 24.Which of these describes how a normal program works? (a) handles unseen examples (b) improves with more data (c) spots patterns in data (d) follows fixed rules
25. 25.🔍 Which is the odd one out? (a) making up a story (b) writing a new poem (c) writing quiz questions (d) spotting spam
26. 26.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) music or sound (c) an image
27. 27.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
28. 28.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) the model (c) a prediction
29. 29.Which of these is a fact about AI? (a) AI is never wrong (b) AI always checks facts (c) AI knows everything (d) AI answers need checking
30. 30.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it uses electricity (d) it learns from examples
31. 31.Which of these is good for training a model? (a) checking labels twice (b) testing on training data (c) labels added at random (d) wrong labels
32. 32.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
33. 33.True or false: “what training builds” is the model. (a) False (b) True
34. 34.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
35. 35.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) uses magic (d) asks a person
36. 36.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
37. 37.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) unlocking with a face (c) suggesting a video (d) sorting photos by face
38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) the phone was new (d) children speak too fast
39. 39.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) ignore complaints (d) ask different people
40. 40.True or false: “the learned patterns” is a prediction. (a) False (b) True

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