AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 40 · 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.Which of these is bad for training a model? (a) photos in many lights (b) testing on training data (c) many varied examples (d) clear, sharp examples
2. 2.Which of these is generative AI (it makes something new)? (a) spotting spam (b) inventing a recipe (c) sorting photos by face (d) reading number plates
3. 3.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) recommending (d) predicting
4. 4.Which of these is generative AI (it makes something new)? (a) spotting spam (b) drawing a new picture (c) suggesting a video (d) turning speech to text
5. 5.Which of these uses AI? (a) a fan regulator (b) a map predicting traffic (c) a calculator (d) a stopwatch
6. 6.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can be wrong (c) AI learns from data (d) AI can make up facts
7. 7.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
9. 9.True or false: “flagging a new email” is training data. (a) True (b) False
10. 10.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
11. 11.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) checking labels twice (d) copies of one photo
12. 12.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a light switch (d) photos grouped by face
13. 13.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
14. 14.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
15. 15.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
16. 16.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
17. 17.Which of these describes how a normal program works? (a) improves with more data (b) follows fixed rules (c) spots patterns in data (d) gives a likely answer
18. 18.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) ask different people (d) balance the data
19. 19.True or false: “improves with more data” describes how AI works. (a) True (b) False
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
21. 21.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
22. 22.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
23. 23.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
24. 24.True or false: “labels added at random” is good for training a model. (a) True (b) False
25. 25.True or false: a book app suggesting a story like your last one is AI generating something new. (a) True (b) False
26. 26.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
27. 27.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
28. 28.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
29. 29.🔍 Which is the odd one out? (a) skip testing (b) test on one group only (c) copy old unfair choices (d) add varied examples
30. 30.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
31. 31.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
32. 32.True or false: a keyboard guessing your next word is AI recognising something. (a) True (b) False
33. 33.🥭 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 may get it wrong (d) it will turn yellow
34. 34.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
35. 35.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) same steps every time (d) improves with more data
36. 36.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a strong battery (c) a broken screen (d) a fair model
37. 37.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) correct labels (d) labels added at random
38. 38.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
40. 40.Which of these describes how a normal program works? (a) never learns from data (b) learns from examples (c) handles unseen examples (d) spots patterns in data

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