AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 415 · 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.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
2. 2.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
3. 3.✅ Is this a real check of an AI answer: asking the same AI again? (a) not a real check (b) a real check
4. 4.Which of these is a prediction? (a) 500 labelled leaf photos (b) labelled fruit photos (c) flagging a new email (d) recorded spoken words
5. 5.Which of these adds to bias? (a) skip testing (b) check who is missing (c) ask different people (d) test on many groups
6. 6.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) text (b) music or sound (c) an image
7. 7.🔍 Which is the odd one out? (a) labels added at random (b) testing on training data (c) only one kind of example (d) photos in many lights
8. 8.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
9. 9.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
10. 10.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
11. 11.🔍 Which is the odd one out? (a) writing quiz questions (b) making up a story (c) drafting a letter (d) unlocking with a face
12. 12.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
13. 13.Which of these helps reduce bias? (a) use one group only (b) add varied examples (c) skip testing (d) copy old unfair choices
14. 14.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
15. 15.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
16. 16.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
17. 17.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
18. 18.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) not spam (b) spam
20. 20.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) inventing a recipe (c) sorting photos by face (d) drafting a letter
22. 22.🤖 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
23. 23.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
24. 24.Which of these is good for training a model? (a) wrong labels (b) checking labels twice (c) blurry, unclear photos (d) very few examples
25. 25.⏩ In machine learning, which comes first: old emails marked spam or the learned patterns? (a) old emails marked spam (b) the learned patterns
26. 26.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
27. 27.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
28. 28.Which of these is the model? (a) flagging a new email (b) 500 labelled leaf photos (c) the learned patterns (d) naming a new leaf
29. 29.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
31. 31.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
32. 32.⏩ In machine learning, which comes first: 500 labelled leaf photos or naming a new fruit photo? (a) 500 labelled leaf photos (b) naming a new fruit photo
33. 33.Which of these is bad for training a model? (a) checking labels twice (b) new data for testing (c) wrong labels (d) photos in many lights
34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
35. 35.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
36. 36.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
37. 37.Which of these is bad for training a model? (a) copies of one photo (b) clear, sharp examples (c) correct labels (d) examples of every type
38. 38.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
39. 39.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
40. 40.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content

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