AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 417 · 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 generative AI (it makes something new)? (a) spotting spam (b) creating a cartoon (c) reading number plates (d) suggesting a video
2. 2.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
3. 3.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
4. 4.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it learns from examples (c) it uses electricity (d) it has a screen
5. 5.🔍 Which is the odd one out? (a) examples of every type (b) photos in many lights (c) copies of one photo (d) correct labels
6. 6.True or false: “only one kind of example” is bad for training a model. (a) False (b) True
7. 7.True or false: “very few examples” is bad for training a model. (a) False (b) True
8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) a list of rules only (c) one single photo (d) many labelled photos
9. 9.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
10. 10.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
11. 11.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its screen size (d) its training data
12. 12.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) clear, sharp examples (d) very few examples
13. 13.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) drawing a new picture (d) spotting a sick leaf
14. 14.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
15. 15.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
16. 16.🔍 Which is the odd one out? (a) a doorbell (b) a map predicting traffic (c) a calculator (d) a printed timetable
17. 17.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
18. 18.Which of these adds to bias? (a) fix wrong labels (b) test on many groups (c) add more of the same (d) check who is missing
19. 19.True or false: a video app suggesting what to watch next is AI predicting something. (a) False (b) True
20. 20.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
21. 21.⏩ In machine learning, which comes first: labelled fruit photos or the trained program? (a) labelled fruit photos (b) the trained program
22. 22.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) one set rule per case (d) learns from examples
23. 23.🎨 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
24. 24.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
25. 25.Which of these is the model? (a) the learned patterns (b) naming a new fruit photo (c) 500 labelled leaf photos (d) typing a new spoken word
26. 26.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
27. 27.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) confident means correct (d) AI can make up facts
28. 28.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) more varied data (d) fewer tests
29. 29.🔍 Which is the odd one out? (a) AI copies data patterns (b) long answers are true (c) AI can be wrong (d) AI can make up facts
30. 30.True or false: “clear, sharp examples” is bad for training a model. (a) False (b) True
31. 31.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
32. 32.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) actual information (d) automatic internet
33. 33.Which of these helps reduce bias? (a) use one group only (b) test on one group only (c) fix wrong labels (d) copy old unfair choices
34. 34.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) spotting spam (c) composing a new tune (d) creating a cartoon
35. 35.🔍 Which is the odd one out? (a) a fan regulator (b) a light switch (c) an app translating signs (d) a stopwatch
36. 36.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) correct labels (d) labels added at random
37. 37.True or false: “testing on training data” is bad for training a model. (a) True (b) False
38. 38.⏩ In machine learning, which comes first: past weather records or the trained program? (a) past weather records (b) the trained program
39. 39.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
40. 40.🔍 Which is the odd one out? (a) new data for testing (b) wrong labels (c) clear, sharp examples (d) examples of every type

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