AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 511 · 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.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
2. 2.True or false: “naming a new fruit photo” is training data. (a) False (b) True
3. 3.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) old emails marked spam (d) 500 labelled leaf photos
4. 4.True or false: “learns from examples” describes how AI works. (a) False (b) True
5. 5.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
6. 6.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will shut down (d) it will turn yellow
7. 7.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to change its name (d) to see if it works
8. 8.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) voice typing (d) a basic calculator
9. 9.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) actual information (d) app installer
10. 10.Which of these is the model? (a) old emails marked spam (b) the learned patterns (c) recorded spoken words (d) flagging a new email
11. 11.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the textbook (c) trust the AI (d) share it online
12. 12.Which of these is a myth about AI? (a) AI answers need checking (b) AI can mix up numbers (c) AI is never wrong (d) AI can make up facts
13. 13.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
14. 14.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
15. 15.Which of these describes how AI works? (a) one set rule per case (b) makes a best guess (c) uses rules people wrote (d) follows fixed rules
16. 16.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
17. 17.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
19. 19.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
20. 20.Which of these is a myth about AI? (a) AI has real feelings (b) AI can mix up numbers (c) AI answers need checking (d) AI can be wrong
21. 21.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
22. 22.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
23. 23.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
24. 24.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a hallucination (d) a summary
25. 25.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
26. 26.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) new data for testing (d) testing on training data
27. 27.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
28. 28.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recognising (b) predicting (c) recommending (d) generating
29. 29.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
30. 30.🔍 Which is the odd one out? (a) a doorbell (b) an image generator (c) a microwave timer (d) a digital watch
31. 31.🔍 Which is the odd one out? (a) correct labels (b) blurry, unclear photos (c) photos in many lights (d) new data for testing
32. 32.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) checking labels twice (d) correct labels
33. 33.Which of these helps reduce bias? (a) copy old unfair choices (b) test on many groups (c) skip testing (d) test on one group only
34. 34.Which of these is generative AI (it makes something new)? (a) predicting rain (b) reading number plates (c) writing a new poem (d) suggesting a video
35. 35.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) composing a new tune (c) spotting a sick leaf (d) sorting photos by face
36. 36.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
37. 37.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
38. 38.True or false: an image generator drawing a robot from a sentence is AI recognising something. (a) False (b) True
39. 39.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
40. 40.🧐 Fact or myth: “long answers are true”? (a) a myth (b) a fact

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