AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 11 · 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 is the odd one out? (a) AI is never wrong (b) AI knows everything (c) AI can mix up numbers (d) confident means correct
2. 2.Which of these adds to bias? (a) test on many groups (b) balance the data (c) check who is missing (d) test on one group only
3. 3.Which of these is generative AI (it makes something new)? (a) spotting spam (b) reading number plates (c) sorting photos by face (d) creating a cartoon
4. 4.Which of these is generative AI (it makes something new)? (a) reading number plates (b) writing quiz questions (c) suggesting a video (d) spotting spam
5. 5.Which of these describes how a normal program works? (a) one set rule per case (b) spots patterns in data (c) handles unseen examples (d) makes a best guess
6. 6.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
7. 7.Which of these is training data? (a) what training builds (b) flagging a new email (c) naming a new fruit photo (d) 500 labelled leaf photos
8. 8.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
9. 9.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a label (d) a prompt
10. 10.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
11. 11.Which of these is a prediction? (a) labelled fruit photos (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
12. 12.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
13. 13.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
14. 14.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) the trained program (d) the learned patterns
15. 15.Which of these uses AI? (a) a fan regulator (b) a stopwatch (c) a digital watch (d) video suggestions
16. 16.🧠 Machine learning is a way for computers to… (a) clean screens (b) charge faster (c) print pages (d) learn from data
17. 17.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
18. 18.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) False (b) True
19. 19.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) False (b) True
20. 20.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) drawing a new picture (b) spotting spam (c) reading number plates (d) turning speech to text
22. 22.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
23. 23.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
24. 24.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
25. 25.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
26. 26.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
27. 27.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) False (b) True
28. 28.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
29. 29.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
30. 30.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
31. 31.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
32. 32.🔍 Which is the odd one out? (a) composing a new tune (b) suggesting a video (c) reading number plates (d) spotting spam
33. 33.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
34. 34.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) more varied data (d) ignoring mistakes
35. 35.🔍 Which is the odd one out? (a) testing on training data (b) many varied examples (c) wrong labels (d) labels added at random
36. 36.🔍 Which is the odd one out? (a) ignore complaints (b) test on one group only (c) copy old unfair choices (d) test on many groups
37. 37.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
38. 38.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
39. 39.True or false: “test on many groups” adds to bias. (a) True (b) False
40. 40.🔍 Which is the odd one out? (a) a voice assistant (b) voice typing (c) a torch (d) a map predicting traffic

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