AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 27 · 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.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
2. 2.True or false: “typing a new spoken word” is the model. (a) False (b) True
3. 3.⏩ In machine learning, which comes first: flagging a new email or labelled fruit photos? (a) flagging a new email (b) labelled fruit photos
4. 4.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
5. 5.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
6. 6.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
7. 7.Which of these is training data? (a) naming a new leaf (b) naming a new fruit photo (c) labelled fruit photos (d) the trained program
8. 8.🔍 Which is the odd one out? (a) ask different people (b) add varied examples (c) copy old unfair choices (d) balance the data
9. 9.Which of these is training data? (a) old emails marked spam (b) what training builds (c) flagging a new email (d) the learned patterns
10. 10.Which of these is good for training a model? (a) only one kind of example (b) many varied examples (c) testing on training data (d) blurry, unclear photos
11. 11.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
12. 12.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI knows everything (d) confident means correct
13. 13.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
14. 14.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) change colour (d) slower to switch on
15. 15.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
16. 16.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
17. 17.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
18. 18.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
19. 19.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
20. 20.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) predicting (c) generating (d) recommending
21. 21.True or false: “recorded spoken words” is the model. (a) False (b) True
22. 22.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
23. 23.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
24. 24.🐶 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) one single photo (d) a song about dogs
25. 25.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only stores files (d) only adds numbers
26. 26.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) False (b) True
27. 27.True or false: recognising a friend’s face in photos needs AI that learns from examples. (a) False (b) True
28. 28.True or false: “five quiz questions on fractions” asks for text. (a) False (b) True
29. 29.🔍 Which is the odd one out? (a) photos grouped by face (b) a spam filter (c) voice typing (d) a digital watch
30. 30.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
31. 31.🔍 Which is the odd one out? (a) drafting a letter (b) sorting photos by face (c) inventing a recipe (d) writing a new poem
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
33. 33.True or false: “many varied examples” is bad for training a model. (a) False (b) True
34. 34.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
35. 35.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) only one kind of example (d) checking labels twice
36. 36.Which of these is not AI? (a) a map predicting traffic (b) voice typing (c) a digital watch (d) a spam filter
37. 37.Which of these adds to bias? (a) skip testing (b) fix wrong labels (c) test on many groups (d) check who is missing
38. 38.🔍 Which is the odd one out? (a) use one group only (b) copy old unfair choices (c) test on many groups (d) ignore complaints
39. 39.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
40. 40.True or false: “AI has real feelings” is a myth about AI. (a) True (b) False

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