AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 107 · 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.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
2. 2.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) data, model, prediction (d) prediction, data, model
3. 3.🔍 Which is the odd one out? (a) making up a story (b) inventing a recipe (c) writing quiz questions (d) reading number plates
4. 4.Which of these is a fact about AI? (a) AI knows everything (b) confident means correct (c) long answers are true (d) AI can make up facts
5. 5.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
6. 6.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
7. 7.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
8. 8.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
9. 9.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
10. 10.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
12. 12.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
13. 13.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
14. 14.True or false: an AI tool making a brand-new tune is AI generating something new. (a) True (b) False
15. 15.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
16. 16.Which of these is the model? (a) old emails marked spam (b) labelled fruit photos (c) the trained program (d) typing a new spoken word
17. 17.Which of these is a fact about AI? (a) AI learns from data (b) AI has real feelings (c) long answers are true (d) confident means correct
18. 18.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
19. 19.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) True (b) False
20. 20.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) voice typing (d) face unlock
21. 21.⏩ In machine learning, which comes first: flagging a new email or old emails marked spam? (a) flagging a new email (b) old emails marked spam
22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
23. 23.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) uses magic (d) copies one website
24. 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) composing a new tune (c) suggesting a video (d) drawing a new picture
25. 25.Which of these is not AI? (a) video suggestions (b) a calculator (c) a map predicting traffic (d) a voice assistant
26. 26.🎨 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
27. 27.Which of these is generative AI (it makes something new)? (a) predicting rain (b) writing quiz questions (c) suggesting a video (d) unlocking with a face
28. 28.True or false: a map app guessing how long a trip will take is AI recommending something. (a) True (b) False
29. 29.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
31. 31.Which of these is the model? (a) naming a new fruit photo (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
32. 32.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
33. 33.Which of these is not AI? (a) an AI chatbot (b) an app translating signs (c) a fan regulator (d) a spam filter
34. 34.🔍 Which is the odd one out? (a) writing quiz questions (b) unlocking with a face (c) writing a new poem (d) drafting a letter
35. 35.🔍 Which is the odd one out? (a) very few examples (b) labels added at random (c) examples of every type (d) only one kind of example
36. 36.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
37. 37.Which of these helps reduce bias? (a) add more of the same (b) test on one group only (c) add varied examples (d) use one group only
38. 38.💬 What do we call the request you type to a generative AI? (a) a password (b) a label (c) a prompt (d) a battery
39. 39.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
40. 40.Which of these is a fact about AI? (a) AI knows everything (b) AI answers need checking (c) AI always checks facts (d) long answers are true

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