AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 783 · 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.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) text (c) music or sound
2. 2.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) actual information (d) automatic internet
3. 3.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
4. 4.Which of these describes how a normal program works? (a) does exactly as coded (b) learns from examples (c) spots patterns in data (d) gives a likely answer
5. 5.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
6. 6.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it learns from examples (d) it is always right
7. 7.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) same steps every time (d) handles unseen examples
8. 8.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
9. 9.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
10. 10.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
12. 12.Which of these describes how AI works? (a) never learns from data (b) same steps every time (c) learns from examples (d) does exactly as coded
13. 13.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can mix up numbers (c) AI can make up facts (d) AI can be wrong
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
15. 15.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
16. 16.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
17. 17.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
18. 18.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
19. 19.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
20. 20.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
21. 21.🔍 Which is the odd one out? (a) creating a cartoon (b) predicting rain (c) inventing a recipe (d) composing a new tune
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
23. 23.True or false: “balance the data” adds to bias. (a) False (b) True
24. 24.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) one set rule per case (d) makes a best guess
25. 25.Which of these is good for training a model? (a) clear, sharp examples (b) testing on training data (c) labels added at random (d) only one kind of example
26. 26.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
28. 28.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
29. 29.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
31. 31.Which of these is the model? (a) naming a new fruit photo (b) labelled fruit photos (c) the trained program (d) flagging a new email
32. 32.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
33. 33.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
34. 34.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
35. 35.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
36. 36.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
37. 37.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
38. 38.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
39. 39.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
40. 40.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts

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