AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 888 · 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: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
2. 2.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
3. 3.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
4. 4.🏷️ What is a “label” in machine learning? (a) the font size (b) a sticker on a laptop (c) the price (d) the right answer tag
5. 5.🔍 Which is the odd one out? (a) ask different people (b) test on one group only (c) use one group only (d) copy old unfair choices
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
7. 7.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) no, it follows rules (d) yes, it can think
8. 8.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
9. 9.True or false: “ask different people” adds to bias. (a) False (b) True
10. 10.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
11. 11.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
12. 12.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
13. 13.True or false: “balance the data” adds to bias. (a) True (b) False
14. 14.⏩ In machine learning, which comes first: 500 labelled leaf photos or the learned patterns? (a) 500 labelled leaf photos (b) the learned patterns
15. 15.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
16. 16.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
17. 17.⏩ In machine learning, which comes first: naming a new fruit photo or 500 labelled leaf photos? (a) naming a new fruit photo (b) 500 labelled leaf photos
18. 18.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
19. 19.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
20. 20.🔍 Which is the odd one out? (a) a map predicting traffic (b) a microwave timer (c) voice typing (d) an image generator
21. 21.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
22. 22.Which of these is good for training a model? (a) very few examples (b) blurry, unclear photos (c) only one kind of example (d) clear, sharp examples
23. 23.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
24. 24.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) False (b) True
25. 25.Which of these is generative AI (it makes something new)? (a) making up a story (b) reading number plates (c) spotting a sick leaf (d) spotting spam
26. 26.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
27. 27.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
28. 28.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) sorting photos by face (b) turning speech to text (c) inventing a recipe (d) reading number plates
30. 30.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) generating (c) recognising (d) predicting
31. 31.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) recommending (c) predicting (d) generating
32. 32.Which of these is bad for training a model? (a) new data for testing (b) very few examples (c) many varied examples (d) checking labels twice
33. 33.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
34. 34.🔍 Which is the odd one out? (a) sorting photos by face (b) composing a new tune (c) making up a story (d) creating a cartoon
35. 35.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) uses rules people wrote (d) makes a best guess
36. 36.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) generating (c) predicting (d) recommending
37. 37.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
38. 38.Which of these is not AI? (a) a voice assistant (b) an image generator (c) face unlock on a phone (d) a digital watch
39. 39.True or false: “flagging a new email” is the model. (a) False (b) True
40. 40.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False

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