AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 41 · 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: “follows fixed rules” describes how a normal program works. (a) True (b) False
2. 2.Which of these adds to bias? (a) add varied examples (b) ask different people (c) ignore complaints (d) fix wrong labels
3. 3.Which of these is good for training a model? (a) wrong labels (b) new data for testing (c) testing on training data (d) blurry, unclear photos
4. 4.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
5. 5.🔍 Which is the odd one out? (a) checking labels twice (b) new data for testing (c) wrong labels (d) clear, sharp examples
6. 6.True or false: “add varied examples” helps reduce bias. (a) True (b) False
7. 7.🔍 Which is the odd one out? (a) face unlock on a phone (b) video suggestions (c) a voice assistant (d) a kitchen weighing scale
8. 8.🔍 Which is the odd one out? (a) labels added at random (b) blurry, unclear photos (c) checking labels twice (d) testing on training data
9. 9.Which of these is bad for training a model? (a) clear, sharp examples (b) correct labels (c) only one kind of example (d) checking labels twice
10. 10.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
11. 11.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
12. 12.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a fair model (d) a broken screen
13. 13.True or false: “correct labels” is bad for training a model. (a) True (b) False
14. 14.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
15. 15.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recommending (b) predicting (c) generating (d) recognising
16. 16.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
17. 17.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
18. 18.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
19. 19.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
20. 20.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) music or sound (c) text
21. 21.🛠️ Which does this job need: suggesting the next word as you type? (a) a simple rule is enough (b) needs AI (learning)
22. 22.Which of these adds to bias? (a) add varied examples (b) use one group only (c) balance the data (d) test on many groups
23. 23.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
24. 24.True or false: “check who is missing” helps reduce bias. (a) True (b) False
25. 25.Which of these is not AI? (a) a voice assistant (b) a spam filter (c) a light switch (d) a map predicting traffic
26. 26.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
27. 27.True or false: “fix wrong labels” adds to bias. (a) True (b) False
28. 28.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
29. 29.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
30. 30.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
31. 31.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
32. 32.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
33. 33.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
34. 34.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
35. 35.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
36. 36.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
37. 37.Which of these helps reduce bias? (a) add more of the same (b) skip testing (c) fix wrong labels (d) test on one group only
38. 38.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
39. 39.Which of these describes how a normal program works? (a) follows fixed rules (b) learns from examples (c) gives a likely answer (d) improves with more data
40. 40.Which of these helps reduce bias? (a) test on one group only (b) add more of the same (c) balance the data (d) use one group only

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