AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 58 · 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.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it may get it wrong (d) it will be perfect
2. 2.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
3. 3.True or false: a keyboard guessing your next word is AI recognising something. (a) False (b) True
4. 4.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a prediction (d) a label error
6. 6.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image
7. 7.True or false: “does exactly as coded” describes how AI works. (a) False (b) True
8. 8.Which of these is not AI? (a) an image generator (b) a microwave timer (c) photos grouped by face (d) a spam filter
9. 9.🏷️ 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
10. 10.Which of these is bad for training a model? (a) photos in many lights (b) many varied examples (c) labels added at random (d) new data for testing
11. 11.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
12. 12.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
13. 13.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
14. 14.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
15. 15.True or false: “long answers are true” is a fact about AI. (a) False (b) True
16. 16.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
17. 17.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False
18. 18.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
19. 19.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI knows everything (d) AI can mix up numbers
20. 20.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) predicting rain (d) writing quiz questions
21. 21.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
22. 22.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
23. 23.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
26. 26.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) old emails marked spam (d) 500 labelled leaf photos
27. 27.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
28. 28.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
29. 29.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
30. 30.True or false: “ask different people” adds to bias. (a) False (b) True
31. 31.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
32. 32.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) predicting (c) recommending (d) recognising
33. 33.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
34. 34.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
35. 35.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
36. 36.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
37. 37.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) spotting spam (c) sorting photos by face (d) unlocking with a face
38. 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
39. 39.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
40. 40.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI learns from data (c) AI can be wrong (d) long answers are true

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