AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 727 · 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.Which of these is generative AI (it makes something new)? (a) reading number plates (b) creating a cartoon (c) predicting rain (d) spotting spam
2. 2.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
3. 3.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
4. 4.🔍 Which is the odd one out? (a) writing a new poem (b) turning speech to text (c) making up a story (d) composing a new tune
5. 5.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
6. 6.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
7. 7.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
8. 8.Which of these is a prediction? (a) naming a new leaf (b) 500 labelled leaf photos (c) old emails marked spam (d) labelled fruit photos
9. 9.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) gives a likely answer (d) improves with more data
10. 10.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
11. 11.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
12. 12.Which of these is bad for training a model? (a) new data for testing (b) correct labels (c) checking labels twice (d) wrong labels
13. 13.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
14. 14.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recognising (c) generating (d) recommending
15. 15.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
16. 16.🔍 Which is the odd one out? (a) creating a cartoon (b) composing a new tune (c) predicting rain (d) writing a new poem
17. 17.🔍 Which is the odd one out? (a) unlocking with a face (b) predicting rain (c) turning speech to text (d) creating a cartoon
18. 18.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) training data (c) the model
19. 19.True or false: “fix wrong labels” adds to bias. (a) False (b) True
20. 20.🔍 Which is the odd one out? (a) AI knows everything (b) AI can make up facts (c) AI copies data patterns (d) AI can be wrong
21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
22. 22.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
23. 23.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
24. 24.Which of these helps reduce bias? (a) copy old unfair choices (b) test on one group only (c) test on many groups (d) skip testing
25. 25.True or false: “ignore complaints” adds to bias. (a) True (b) False
26. 26.🔍 Which is the odd one out? (a) AI always checks facts (b) AI can make up facts (c) AI can be wrong (d) AI learns from data
27. 27.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
28. 28.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
29. 29.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
30. 30.📱 What is the AI doing here: a music app suggesting a song you may like? (a) generating (b) predicting (c) recommending (d) recognising
31. 31.Which of these is not AI? (a) a calculator (b) a map predicting traffic (c) photos grouped by face (d) an image generator
32. 32.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
33. 33.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
34. 34.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) False (b) True
35. 35.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) printing (c) charging (d) recommending
36. 36.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
37. 37.True or false: “past weather records” is a prediction. (a) False (b) True
38. 38.🔍 Which is the odd one out? (a) AI always checks facts (b) AI can make up facts (c) long answers are true (d) AI knows everything
39. 39.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
40. 40.Which of these is a prediction? (a) past weather records (b) the learned patterns (c) tomorrow’s rain guess (d) recorded spoken words

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