AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 202 · 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 good for training a model? (a) labels added at random (b) only one kind of example (c) many varied examples (d) wrong labels
2. 2.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) ask different people (d) add more of the same
3. 3.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
4. 4.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
5. 5.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
6. 6.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) spots patterns in data (d) uses rules people wrote
7. 7.🔍 Which is the odd one out? (a) a light switch (b) a doorbell (c) a map predicting traffic (d) a digital watch
8. 8.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) predicting (d) generating
9. 9.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
10. 10.🔍 Which is the odd one out? (a) labels added at random (b) photos in many lights (c) testing on training data (d) very few examples
11. 11.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
12. 12.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
13. 13.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
14. 14.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recognising (c) recommending (d) generating
15. 15.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
16. 16.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
17. 17.Which of these is a myth about AI? (a) AI is never wrong (b) AI can make up facts (c) AI can mix up numbers (d) AI copies data patterns
18. 18.🔍 Which is the odd one out? (a) check who is missing (b) copy old unfair choices (c) balance the data (d) add varied examples
19. 19.🖼️ If an image generator always draws a scientist as a man, that shows… (a) bias from data (b) a fair model (c) a strong battery (d) a broken screen
20. 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
21. 21.🔍 Which is the odd one out? (a) ask different people (b) test on many groups (c) ignore complaints (d) check who is missing
22. 22.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) examples of every type (d) blurry, unclear photos
23. 23.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
24. 24.Which of these describes how AI works? (a) does exactly as coded (b) makes a best guess (c) never learns from data (d) uses rules people wrote
25. 25.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
26. 26.Which of these is bad for training a model? (a) many varied examples (b) very few examples (c) correct labels (d) examples of every type
27. 27.Which of these is a myth about AI? (a) AI learns from data (b) AI can mix up numbers (c) AI can make up facts (d) AI has real feelings
28. 28.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
29. 29.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
30. 30.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
31. 31.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
32. 32.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
33. 33.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
34. 34.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can mix up numbers (c) AI is never wrong (d) AI knows everything
35. 35.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) improves with more data (d) follows fixed rules
36. 36.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) spotting a sick leaf (c) unlocking with a face (d) turning speech to text
37. 37.🥭 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 will turn yellow (d) it may get it wrong
38. 38.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) True (b) False
39. 39.Which of these uses AI? (a) an app translating signs (b) a fan regulator (c) a microwave timer (d) a digital watch
40. 40.Which of these is a prediction? (a) labelled fruit photos (b) old emails marked spam (c) naming a new leaf (d) what training builds

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