AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 413 · 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 thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
2. 2.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
3. 3.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
4. 4.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
5. 5.True or false: “AI copies data patterns” is a myth about AI. (a) False (b) True
6. 6.🎨 An image generator makes a picture from… (a) the weather (b) your password (c) a text description (d) a phone number
7. 7.🔍 Which is the odd one out? (a) copies of one photo (b) blurry, unclear photos (c) new data for testing (d) testing on training data
8. 8.Which of these describes how AI works? (a) handles unseen examples (b) one set rule per case (c) same steps every time (d) does exactly as coded
9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
10. 10.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
11. 11.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
12. 12.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training
13. 13.Which of these uses AI? (a) a stopwatch (b) a calculator (c) a fan regulator (d) an AI chatbot
14. 14.🔍 Which is the odd one out? (a) video suggestions (b) a fan regulator (c) a voice assistant (d) photos grouped by face
15. 15.Which of these describes how a normal program works? (a) learns from examples (b) handles unseen examples (c) spots patterns in data (d) uses rules people wrote
16. 16.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
17. 17.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
18. 18.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
19. 19.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
20. 20.True or false: “it is long and detailed” is a real way to check an AI answer. (a) False (b) True
21. 21.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
22. 22.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True
23. 23.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) writing a new poem (c) spotting a sick leaf (d) inventing a recipe
24. 24.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
25. 25.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
26. 26.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
27. 27.True or false: “it sounds very sure” is a real way to check an AI answer. (a) True (b) False
28. 28.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
29. 29.🔍 Which is the odd one out? (a) add more of the same (b) test on many groups (c) skip testing (d) use one group only
30. 30.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
31. 31.✨ Generative or not: predicting rain? (a) sorts or predicts (b) makes something new
32. 32.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
33. 33.🔍 Which is the odd one out? (a) video suggestions (b) a calculator (c) face unlock on a phone (d) an image generator
34. 34.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
36. 36.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a summary (d) a hallucination
37. 37.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
39. 39.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
40. 40.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it has a screen (d) it uses electricity

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