AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 549 · 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.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
2. 2.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) music or sound (b) text (c) an image
3. 3.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
4. 4.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) balance the data (d) add more of the same
5. 5.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
6. 6.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recommending (c) generating (d) recognising
7. 7.⏩ In machine learning, which comes first: labelled fruit photos or flagging a new email? (a) labelled fruit photos (b) flagging a new email
8. 8.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) False (b) True
9. 9.🎨 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
10. 10.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
11. 11.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
12. 12.Which of these is a prediction? (a) labelled fruit photos (b) past weather records (c) 500 labelled leaf photos (d) naming a new fruit photo
13. 13.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
14. 14.True or false: “a drawing of a cat on the Moon” asks for an image. (a) True (b) False
15. 15.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
16. 16.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) predicting (b) recognising (c) generating (d) recommending
17. 17.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
18. 18.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
19. 19.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) stop studying (c) trust the textbook (d) trust the AI
20. 20.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
21. 21.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
22. 22.🔍 Which is the odd one out? (a) video suggestions (b) a microwave timer (c) a map predicting traffic (d) voice typing
23. 23.🏷️ 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
24. 24.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
25. 25.⏩ In machine learning, which comes first: the learned patterns or old emails marked spam? (a) the learned patterns (b) old emails marked spam
26. 26.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) labels added at random (d) photos in many lights
27. 27.⏩ In machine learning, which comes first: what training builds or recorded spoken words? (a) what training builds (b) recorded spoken words
28. 28.Which of these is not AI? (a) a light switch (b) a spam filter (c) an app translating signs (d) face unlock on a phone
29. 29.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
30. 30.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
31. 31.Which of these is training data? (a) the trained program (b) labelled fruit photos (c) what training builds (d) the learned patterns
32. 32.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
33. 33.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a prompt (d) a battery
34. 34.True or false: “use one group only” adds to bias. (a) False (b) True
35. 35.🔍 Which is the odd one out? (a) test on one group only (b) use one group only (c) check who is missing (d) add more of the same
36. 36.Which of these is the model? (a) old emails marked spam (b) typing a new spoken word (c) the trained program (d) recorded spoken words
37. 37.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
38. 38.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
39. 39.True or false: “naming a new leaf” is a prediction. (a) True (b) False
40. 40.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True

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