AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 735 · 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.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) generating (c) recommending (d) recognising
2. 2.Which of these adds to bias? (a) test on many groups (b) add more of the same (c) ask different people (d) check who is missing
3. 3.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
4. 4.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
5. 5.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
6. 6.🔍 Which is the odd one out? (a) AI can make up facts (b) AI learns from data (c) confident means correct (d) AI copies data patterns
7. 7.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
8. 8.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
9. 9.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
10. 10.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) new data for testing (d) blurry, unclear photos
11. 11.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
12. 12.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
13. 13.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) True (b) False
14. 14.True or false: “the learned patterns” is training data. (a) False (b) True
15. 15.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
16. 16.Which of these is a prediction? (a) what training builds (b) 500 labelled leaf photos (c) old emails marked spam (d) flagging a new email
17. 17.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
18. 18.True or false: “naming a new leaf” is training data. (a) True (b) False
19. 19.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) labels added at random (d) checking labels twice
20. 20.Which of these describes how AI works? (a) same steps every time (b) spots patterns in data (c) one set rule per case (d) uses rules people wrote
21. 21.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
22. 22.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
23. 23.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
24. 24.Which of these is the model? (a) naming a new leaf (b) typing a new spoken word (c) tomorrow’s rain guess (d) what training builds
25. 25.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) inventing a recipe (c) writing a new poem (d) spotting a sick leaf
27. 27.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) one group only (d) ignoring mistakes
28. 28.🔍 Which is the odd one out? (a) writing quiz questions (b) inventing a recipe (c) drafting a letter (d) predicting rain
29. 29.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) face unlock (d) a spam filter
30. 30.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
31. 31.📱 What is the AI doing here: turning your spoken words into typed text? (a) recognising (b) recommending (c) generating (d) predicting
32. 32.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) generating (b) recommending (c) predicting (d) recognising
33. 33.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
34. 34.Which of these helps reduce bias? (a) test on many groups (b) add more of the same (c) test on one group only (d) use one group only
35. 35.Which of these is not AI? (a) face unlock on a phone (b) a fan regulator (c) voice typing (d) photos grouped by face
36. 36.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
37. 37.Which of these is training data? (a) naming a new fruit photo (b) naming a new leaf (c) typing a new spoken word (d) past weather records
38. 38.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
39. 39.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
40. 40.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it is smart (d) yes, it can think

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