AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 467 · 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: ask different people? (a) adds to bias (b) reduces bias
2. 2.Which of these is training data? (a) old emails marked spam (b) what training builds (c) the learned patterns (d) naming a new fruit photo
3. 3.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recommending (b) generating (c) predicting (d) recognising
4. 4.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
5. 5.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
6. 6.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
7. 7.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
8. 8.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
9. 9.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can mix up numbers (c) AI copies data patterns (d) AI has real feelings
10. 10.True or false: “write a poem about the monsoon” asks for text. (a) True (b) False
11. 11.Which of these is a fact about AI? (a) AI always checks facts (b) confident means correct (c) AI copies data patterns (d) AI knows everything
12. 12.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
13. 13.True or false: “many varied examples” is bad for training a model. (a) False (b) True
14. 14.Which of these uses AI? (a) a fan regulator (b) a map predicting traffic (c) a stopwatch (d) a digital watch
15. 15.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) only one kind of example (d) checking labels twice
16. 16.Which of these is training data? (a) naming a new leaf (b) tomorrow’s rain guess (c) past weather records (d) the learned patterns
17. 17.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
18. 18.🔍 Which is the odd one out? (a) spotting spam (b) creating a cartoon (c) drawing a new picture (d) composing a new tune
19. 19.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
20. 20.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
21. 21.True or false: “new data for testing” is bad for training a model. (a) False (b) True
22. 22.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
23. 23.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) True (b) False
24. 24.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
25. 25.Which of these is not AI? (a) a spam filter (b) video suggestions (c) voice typing (d) a fan regulator
26. 26.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
27. 27.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) data, prediction, model (d) prediction, data, model
28. 28.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
30. 30.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
31. 31.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
32. 32.Which of these is a prediction? (a) old emails marked spam (b) past weather records (c) naming a new fruit photo (d) labelled fruit photos
33. 33.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
34. 34.🔍 Which is the odd one out? (a) video suggestions (b) a doorbell (c) a light switch (d) a torch
35. 35.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
36. 36.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) typing a new spoken word (d) labelled fruit photos
37. 37.🔍 Which is the odd one out? (a) unlocking with a face (b) inventing a recipe (c) reading number plates (d) turning speech to text
38. 38.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
39. 39.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
40. 40.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recognising (b) generating (c) recommending (d) predicting

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