AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 554 · 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.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
2. 2.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
3. 3.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
4. 4.🌍 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
5. 5.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
6. 6.📦 What happens during training? (a) it charges up (b) it learns patterns (c) it takes photos (d) it prints labels
7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) drawing a new picture (c) making up a story (d) turning speech to text
8. 8.Which of these is training data? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
9. 9.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
10. 10.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) an image (c) music or sound
11. 11.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
12. 12.🔍 Which is the odd one out? (a) inventing a recipe (b) composing a new tune (c) spotting spam (d) writing a new poem
13. 13.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
14. 14.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
15. 15.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will turn yellow (d) it will be perfect
16. 16.📱 What is the AI doing here: a car camera reading a speed sign? (a) predicting (b) recognising (c) recommending (d) generating
17. 17.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) wrong labels (d) labels added at random
18. 18.Which of these is not AI? (a) an app translating signs (b) a voice assistant (c) a light switch (d) an AI chatbot
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
20. 20.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) clear, sharp examples (d) correct labels
21. 21.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
22. 22.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) voice typing (d) face unlock
23. 23.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
24. 24.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
25. 25.Which of these is not AI? (a) an image generator (b) photos grouped by face (c) face unlock on a phone (d) a kitchen weighing scale
26. 26.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
27. 27.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) many varied examples (d) wrong labels
28. 28.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) many varied examples (b) testing on training data (c) labels added at random (d) only one kind of example
30. 30.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
31. 31.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
32. 32.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, model, prediction (d) data, prediction, model
33. 33.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) new data for testing (d) copies of one photo
34. 34.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
35. 35.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
36. 36.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
37. 37.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
38. 38.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
39. 39.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) generating (c) predicting (d) recognising
40. 40.Which of these is good for training a model? (a) very few examples (b) labels added at random (c) copies of one photo (d) correct labels

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