AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 960 · 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.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) an image (c) music or sound
2. 2.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
3. 3.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it will turn yellow (d) it may get it wrong
4. 4.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) guess (c) look in your textbook (d) ask it to repeat
5. 5.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) examples of every type (d) new data for testing
6. 6.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) very few examples (d) examples of every type
7. 7.Which of these is not AI? (a) an image generator (b) face unlock on a phone (c) a light switch (d) voice typing
8. 8.True or false: turning your spoken words into typed text is AI recommending something. (a) False (b) True
9. 9.Which of these is generative AI (it makes something new)? (a) reading number plates (b) composing a new tune (c) predicting rain (d) spotting spam
10. 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
11. 11.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
12. 12.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
13. 13.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
14. 14.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
15. 15.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
16. 16.True or false: “test on many groups” helps reduce bias. (a) True (b) False
17. 17.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
18. 18.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
19. 19.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) balance the data (d) ignore complaints
20. 20.Which of these describes how a normal program works? (a) gives a likely answer (b) learns from examples (c) makes a best guess (d) follows fixed rules
21. 21.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
22. 22.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) actual information (d) automatic internet
23. 23.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
24. 24.Which of these uses AI? (a) a fan regulator (b) a doorbell (c) a spam filter (d) a stopwatch
25. 25.Which of these is a myth about AI? (a) AI can make up facts (b) AI learns from data (c) AI can be wrong (d) AI knows everything
26. 26.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
27. 27.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
28. 28.True or false: “confident means correct” is a fact about AI. (a) True (b) False
29. 29.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
30. 30.🔍 Which is the odd one out? (a) a light switch (b) a fan regulator (c) a microwave timer (d) video suggestions
31. 31.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
32. 32.Which of these is a myth about AI? (a) AI always checks facts (b) AI can make up facts (c) AI copies data patterns (d) AI can be wrong
33. 33.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
34. 34.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
35. 35.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) music or sound (c) an image
36. 36.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
37. 37.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
38. 38.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) predicting (d) recommending
39. 39.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) learns from examples (d) one set rule per case
40. 40.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a label (d) a battery

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