AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 675 · 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.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
2. 2.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
3. 3.True or false: “add more of the same” helps reduce bias. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
5. 5.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
6. 6.Which of these describes how a normal program works? (a) gives a likely answer (b) improves with more data (c) never learns from data (d) handles unseen examples
7. 7.🔍 Which is the odd one out? (a) photos grouped by face (b) an image generator (c) voice typing (d) a doorbell
8. 8.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) music or sound (c) text
9. 9.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) singing (c) sleeping (d) drawing
10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) composing a new tune (c) inventing a recipe (d) suggesting a video
11. 11.Which of these is generative AI (it makes something new)? (a) predicting rain (b) inventing a recipe (c) reading number plates (d) unlocking with a face
12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
13. 13.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
14. 14.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
15. 15.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
16. 16.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
17. 17.🐶 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) a song about dogs (d) many labelled photos
18. 18.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
19. 19.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) text (c) music or sound
20. 20.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
21. 21.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
22. 22.🏠 AI or not AI: a spam filter? (a) not AI (b) uses AI
23. 23.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
24. 24.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add more of the same (d) add varied examples
25. 25.🤖 Who builds and trains AI systems? (a) people (b) the Moon (c) nobody at all (d) the weather
26. 26.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
27. 27.Which of these is the model? (a) recorded spoken words (b) old emails marked spam (c) labelled fruit photos (d) the learned patterns
28. 28.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it may get it wrong (b) it will be perfect (c) it will shut down (d) it will turn yellow
29. 29.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
30. 30.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
31. 31.🔍 Which is the odd one out? (a) add varied examples (b) check who is missing (c) test on many groups (d) skip testing
32. 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting a sick leaf (b) drawing a new picture (c) inventing a recipe (d) writing quiz questions
33. 33.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
34. 34.Which of these is the model? (a) flagging a new email (b) what training builds (c) labelled fruit photos (d) past weather records
35. 35.True or false: “add more of the same” adds to bias. (a) True (b) False
36. 36.Which of these adds to bias? (a) ask different people (b) test on many groups (c) fix wrong labels (d) use one group only
37. 37.🔍 Which is the odd one out? (a) drawing a new picture (b) unlocking with a face (c) making up a story (d) creating a cartoon
38. 38.True or false: a map app guessing how long a trip will take is AI recognising something. (a) False (b) True
39. 39.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
40. 40.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright

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