AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 433 · 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 is the odd one out? (a) reading number plates (b) creating a cartoon (c) making up a story (d) writing a new poem
2. 2.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
3. 3.🔍 Which is the odd one out? (a) a voice assistant (b) face unlock on a phone (c) photos grouped by face (d) a kitchen weighing scale
4. 4.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) music or sound (c) an image
5. 5.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) typing a new spoken word (d) what training builds
6. 6.🔍 Which is the odd one out? (a) an app translating signs (b) voice typing (c) an image generator (d) a microwave timer
7. 7.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) only stores files (d) charges batteries
8. 8.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) the price (d) a sticker on a laptop
9. 9.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
10. 10.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) recorded spoken words (d) what training builds
11. 11.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
12. 12.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
13. 13.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
14. 14.Which of these is a prediction? (a) old emails marked spam (b) labelled fruit photos (c) naming a new leaf (d) past weather records
15. 15.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) checking labels twice (d) blurry, unclear photos
16. 16.Which of these is a prediction? (a) naming a new fruit photo (b) 500 labelled leaf photos (c) what training builds (d) recorded spoken words
17. 17.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) a torch (b) a map predicting traffic (c) a voice assistant (d) an AI chatbot
19. 19.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
20. 20.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
21. 21.Which of these is bad for training a model? (a) many varied examples (b) wrong labels (c) correct labels (d) checking labels twice
22. 22.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
23. 23.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
24. 24.Which of these describes how a normal program works? (a) does exactly as coded (b) learns from examples (c) makes a best guess (d) spots patterns in data
25. 25.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
26. 26.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
27. 27.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
28. 28.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
29. 29.True or false: “a drawing of a cat on the Moon” asks for music or sound. (a) False (b) True
30. 30.True or false: “old emails marked spam” is training data. (a) False (b) True
31. 31.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recognising (c) generating (d) recommending
32. 32.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
33. 33.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
34. 34.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
35. 35.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
36. 36.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) use one group only (d) balance the data
37. 37.Which of these is not AI? (a) a stopwatch (b) face unlock on a phone (c) a spam filter (d) an app translating signs
38. 38.Which of these is good for training a model? (a) wrong labels (b) examples of every type (c) labels added at random (d) blurry, unclear photos
39. 39.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
40. 40.Which of these is a fact about AI? (a) AI is never wrong (b) AI answers need checking (c) long answers are true (d) confident means correct

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