AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 299 · 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.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
2. 2.Which of these is the model? (a) past weather records (b) what training builds (c) typing a new spoken word (d) 500 labelled leaf photos
3. 3.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) True (b) False
4. 4.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
5. 5.Which of these uses AI? (a) a microwave timer (b) a doorbell (c) a calculator (d) face unlock on a phone
6. 6.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
7. 7.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
8. 8.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
9. 9.🔍 Which is the odd one out? (a) AI copies data patterns (b) long answers are true (c) AI knows everything (d) AI has real feelings
10. 10.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
11. 11.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) only stores files (d) charges batteries
12. 12.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
13. 13.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
14. 14.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) testing on training data (d) photos in many lights
15. 15.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
16. 16.🔍 Which is the odd one out? (a) AI knows everything (b) confident means correct (c) AI always checks facts (d) AI can be wrong
17. 17.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
18. 18.True or false: “test on one group only” adds to bias. (a) False (b) True
19. 19.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
20. 20.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
21. 21.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
22. 22.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) the learned patterns (d) tomorrow’s rain guess
23. 23.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can be wrong (c) AI has real feelings (d) AI can make up facts
24. 24.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
25. 25.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
26. 26.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
27. 27.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
28. 28.🔍 Which is the odd one out? (a) AI is never wrong (b) AI has real feelings (c) AI knows everything (d) AI answers need checking
29. 29.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
30. 30.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
31. 31.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
32. 32.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
33. 33.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
34. 34.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
35. 35.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
36. 36.Which of these is generative AI (it makes something new)? (a) spotting spam (b) suggesting a video (c) predicting rain (d) drafting a letter
37. 37.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) charging (c) cooking (d) printing
38. 38.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) generating (d) predicting
39. 39.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
40. 40.Which of these adds to bias? (a) balance the data (b) test on one group only (c) fix wrong labels (d) ask different people

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