AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 633 · 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.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
2. 2.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
3. 3.🔍 Which is the odd one out? (a) a map predicting traffic (b) face unlock on a phone (c) an app translating signs (d) a kitchen weighing scale
4. 4.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
5. 5.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
6. 6.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
7. 7.True or false: “same steps every time” describes how AI works. (a) False (b) True
8. 8.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
9. 9.Which of these describes how AI works? (a) makes a best guess (b) does exactly as coded (c) uses rules people wrote (d) follows fixed rules
10. 10.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
11. 11.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) copies of one photo (d) examples of every type
12. 12.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
13. 13.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
14. 14.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) children speak too fast (c) few child voices in data (d) the phone was new
16. 16.True or false: “test on one group only” helps reduce bias. (a) True (b) False
17. 17.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
18. 18.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
19. 19.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
20. 20.Which of these is the model? (a) what training builds (b) old emails marked spam (c) labelled fruit photos (d) tomorrow’s rain guess
21. 21.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) recognising (c) generating (d) predicting
22. 22.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
23. 23.🔍 Which is the odd one out? (a) only one kind of example (b) blurry, unclear photos (c) labels added at random (d) clear, sharp examples
24. 24.True or false: “rain sound effects for a play” asks for music or sound. (a) False (b) True
25. 25.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
26. 26.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
27. 27.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
28. 28.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
29. 29.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) artificial intelligence (d) app installer
30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
31. 31.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
32. 32.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recognising (c) predicting (d) recommending
33. 33.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
35. 35.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) ignore complaints (d) check who is missing
36. 36.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
37. 37.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) labels added at random (d) clear, sharp examples
38. 38.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) a song about dogs (d) many labelled photos
39. 39.🔍 Which is the odd one out? (a) writing a new poem (b) unlocking with a face (c) making up a story (d) drafting a letter
40. 40.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) the weather (d) people

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