AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 740 · 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: “write a poem about the monsoon” asks for an image. (a) True (b) False
2. 2.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
3. 3.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
5. 5.🏷️ 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) not spam (b) spam
6. 6.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
7. 7.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
8. 8.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
9. 9.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
10. 10.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI copies data patterns (d) AI can make up facts
11. 11.True or false: a camera app naming the flower you point at is AI recognising something. (a) True (b) False
12. 12.⏩ In machine learning, which comes first: what training builds or labelled fruit photos? (a) what training builds (b) labelled fruit photos
13. 13.True or false: “new data for testing” is good for training a model. (a) False (b) True
14. 14.True or false: “recorded spoken words” is a prediction. (a) False (b) True
15. 15.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) False (b) True
16. 16.Which of these is not AI? (a) a kitchen weighing scale (b) an app translating signs (c) a spam filter (d) voice typing
17. 17.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
18. 18.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) music or sound (c) an image
19. 19.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) AI copies data patterns (d) AI knows everything
20. 20.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a hallucination (d) a summary
21. 21.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) only on Mondays (c) yes, always
22. 22.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
23. 23.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
24. 24.🔍 Which is the odd one out? (a) a calculator (b) an image generator (c) a doorbell (d) a kitchen weighing scale
25. 25.True or false: “past weather records” is the model. (a) False (b) True
26. 26.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
27. 27.Which of these is training data? (a) the learned patterns (b) past weather records (c) what training builds (d) naming a new fruit photo
28. 28.True or false: counting the words in an essay needs AI that learns from examples. (a) True (b) False
29. 29.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it will shut down (c) it will turn yellow (d) it may get it wrong
30. 30.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) charging (c) recommending (d) printing
31. 31.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
32. 32.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
33. 33.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) 500 labelled leaf photos (d) tomorrow’s rain guess
34. 34.✨ What does generative AI do? (a) only adds numbers (b) charges batteries (c) makes new content (d) only stores files
35. 35.Which of these is the model? (a) flagging a new email (b) what training builds (c) naming a new fruit photo (d) past weather records
36. 36.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
37. 37.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) writing a new poem (c) spotting a sick leaf (d) reading number plates
38. 38.True or false: “naming a new leaf” is the model. (a) False (b) True
39. 39.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
40. 40.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) does exactly as coded (d) improves with more data

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