AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 552 · 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.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
2. 2.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) one set rule per case (d) makes a best guess
3. 3.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
4. 4.Which of these is a prediction? (a) the learned patterns (b) flagging a new email (c) past weather records (d) what training builds
5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drawing a new picture (c) predicting rain (d) writing a new poem
6. 6.Which of these is a myth about AI? (a) AI can make up facts (b) AI answers need checking (c) AI can be wrong (d) confident means correct
7. 7.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
8. 8.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) add varied examples (d) copy old unfair choices
9. 9.🔍 Which is the odd one out? (a) drafting a letter (b) drawing a new picture (c) writing quiz questions (d) spotting spam
10. 10.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
11. 11.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) gives a likely answer (d) never learns from data
12. 12.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) a prediction (c) the model
13. 13.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
14. 14.🔍 Which is the odd one out? (a) copies of one photo (b) testing on training data (c) blurry, unclear photos (d) examples of every type
15. 15.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
16. 16.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
17. 17.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) recognising (c) generating (d) recommending
18. 18.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
19. 19.Which of these is good for training a model? (a) new data for testing (b) labels added at random (c) testing on training data (d) very few examples
20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
21. 21.🔍 Which is the odd one out? (a) add varied examples (b) copy old unfair choices (c) use one group only (d) add more of the same
22. 22.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
23. 23.Which of these is not AI? (a) an image generator (b) an AI chatbot (c) a stopwatch (d) an app translating signs
24. 24.🤖 Who builds and trains AI systems? (a) people (b) nobody at all (c) the Moon (d) the weather
25. 25.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
26. 26.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
27. 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
28. 28.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) False (b) True
29. 29.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
30. 30.Which of these uses AI? (a) a fan regulator (b) a microwave timer (c) a kitchen weighing scale (d) a spam filter
31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a label error (d) a prediction
32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) one single photo (c) a list of rules only (d) a song about dogs
33. 33.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
34. 34.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
35. 35.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
36. 36.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
37. 37.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) forget everything (d) better at its task
38. 38.🔍 Which is the odd one out? (a) turning speech to text (b) creating a cartoon (c) drafting a letter (d) writing quiz questions
39. 39.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
40. 40.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) generating (d) predicting

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