AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 617 · 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.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) True (b) False
2. 2.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
3. 3.Which of these is a prediction? (a) 500 labelled leaf photos (b) what training builds (c) past weather records (d) naming a new fruit photo
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
5. 5.🔍 Which is the odd one out? (a) a microwave timer (b) a fan regulator (c) a kitchen weighing scale (d) an image generator
6. 6.Which of these is a prediction? (a) flagging a new email (b) past weather records (c) 500 labelled leaf photos (d) what training builds
7. 7.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) the weather (d) its colour
8. 8.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
9. 9.Which of these is AI that sorts, spots or predicts (not generative)? (a) reading number plates (b) writing a new poem (c) drawing a new picture (d) creating a cartoon
10. 10.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
11. 11.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) a basic calculator (d) face unlock
12. 12.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) generating (c) recommending (d) recognising
13. 13.True or false: “write a poem about the monsoon” asks for text. (a) True (b) False
14. 14.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
15. 15.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
16. 16.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
17. 17.🔍 Which is the odd one out? (a) AI is never wrong (b) confident means correct (c) AI knows everything (d) AI can be wrong
18. 18.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
19. 19.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing quiz questions (c) unlocking with a face (d) writing a new poem
20. 20.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) print pages (d) charge faster
21. 21.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
22. 22.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
23. 23.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
24. 24.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
25. 25.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
26. 26.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) predicting (d) recommending
27. 27.🏷️ 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
28. 28.Which of these is a fact about AI? (a) AI has real feelings (b) AI can mix up numbers (c) long answers are true (d) AI is never wrong
29. 29.⏩ In machine learning, which comes first: naming a new fruit photo or labelled fruit photos? (a) naming a new fruit photo (b) labelled fruit photos
30. 30.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) composing a new tune (d) spotting a sick leaf
31. 31.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
32. 32.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) labelled fruit photos
33. 33.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: recorded spoken words or the trained program? (a) recorded spoken words (b) the trained program
35. 35.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
36. 36.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
37. 37.Which of these is not AI? (a) a stopwatch (b) photos grouped by face (c) an AI chatbot (d) a voice assistant
38. 38.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
39. 39.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
40. 40.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) sorting photos by face (d) spotting a sick leaf

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