AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 25 · 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 is the odd one out? (a) inventing a recipe (b) drawing a new picture (c) writing quiz questions (d) suggesting a video
2. 2.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) skip testing (d) ask different people
3. 3.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI copies data patterns (d) confident means correct
4. 4.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) use one group only (d) test on many groups
5. 5.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
6. 6.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
7. 7.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
8. 8.True or false: “spots patterns in data” describes how a normal program works. (a) True (b) False
9. 9.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
10. 10.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
11. 11.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
12. 12.Which of these adds to bias? (a) add varied examples (b) add more of the same (c) test on many groups (d) check who is missing
13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
14. 14.Which of these uses AI? (a) a printed timetable (b) face unlock on a phone (c) a microwave timer (d) a torch
15. 15.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
16. 16.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) follows fixed rules (d) spots patterns in data
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
18. 18.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI is never wrong (d) AI can make up facts
19. 19.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
20. 20.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) nobody at all (d) the weather
21. 21.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
22. 22.Which of these is a myth about AI? (a) AI copies data patterns (b) AI learns from data (c) AI has real feelings (d) AI can make up facts
23. 23.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
24. 24.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) wrong labels (d) correct labels
25. 25.🔍 Which is the odd one out? (a) checking labels twice (b) labels added at random (c) many varied examples (d) correct labels
26. 26.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
27. 27.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
28. 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
29. 29.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI can make up facts (d) AI copies data patterns
30. 30.Which of these is a prediction? (a) 500 labelled leaf photos (b) naming a new fruit photo (c) recorded spoken words (d) the trained program
31. 31.⏩ 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
32. 32.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) one-sided data (b) balanced data
33. 33.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) follows fixed rules (d) learns from examples
34. 34.True or false: “testing on training data” is good for training a model. (a) True (b) False
35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
36. 36.🏷️ 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
37. 37.True or false: an AI chatbot writing a story about a lost kite is AI predicting something. (a) True (b) False
38. 38.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
39. 39.Which of these describes how AI works? (a) improves with more data (b) does exactly as coded (c) one set rule per case (d) follows fixed rules
40. 40.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can mix up numbers (c) AI can be wrong (d) AI knows everything

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