AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 771 · 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 right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
2. 2.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) only one kind of example (d) photos in many lights
3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) the phone was new (c) children speak too fast (d) few child voices in data
4. 4.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) an image (c) text
5. 5.🔍 Which is the odd one out? (a) AI knows everything (b) AI always checks facts (c) long answers are true (d) AI can be wrong
6. 6.True or false: switching on a street light at 6 pm only needs a simple fixed rule. (a) False (b) True
7. 7.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
8. 8.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
9. 9.🔍 Which is the odd one out? (a) labels added at random (b) checking labels twice (c) correct labels (d) examples of every type
10. 10.Which of these is not AI? (a) a kitchen weighing scale (b) voice typing (c) an AI chatbot (d) a spam filter
11. 11.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
12. 12.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
13. 13.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) text (c) an image
14. 14.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
15. 15.🔍 Which is the odd one out? (a) photos grouped by face (b) a voice assistant (c) a stopwatch (d) video suggestions
16. 16.⏩ In machine learning, which comes first: naming a new leaf or 500 labelled leaf photos? (a) naming a new leaf (b) 500 labelled leaf photos
17. 17.Which of these is bad for training a model? (a) clear, sharp examples (b) photos in many lights (c) many varied examples (d) copies of one photo
18. 18.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
19. 19.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
20. 20.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
21. 21.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
22. 22.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
23. 23.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
24. 24.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
25. 25.🔍 Which is the odd one out? (a) a calculator (b) a fan regulator (c) a microwave timer (d) an app translating signs
26. 26.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
27. 27.Which of these is the model? (a) labelled fruit photos (b) what training builds (c) old emails marked spam (d) tomorrow’s rain guess
28. 28.🔍 Which is the odd one out? (a) turning speech to text (b) suggesting a video (c) spotting spam (d) making up a story
29. 29.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
30. 30.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) predicting (d) generating
31. 31.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
32. 32.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
33. 33.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
34. 34.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
35. 35.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recognising (b) recommending (c) predicting (d) generating
36. 36.True or false: suggesting the next word as you type needs AI that learns from examples. (a) True (b) False
37. 37.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) test on one group only (d) add varied examples
39. 39.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) fewer tests (d) one group only
40. 40.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound

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