AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 541 · 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 bad for training a model? (a) many varied examples (b) clear, sharp examples (c) checking labels twice (d) only one kind of example
2. 2.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
3. 3.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
4. 4.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
5. 5.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
6. 6.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
7. 7.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
8. 8.Which of these uses AI? (a) a torch (b) face unlock on a phone (c) a light switch (d) a calculator
9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
10. 10.🤖 Who builds and trains AI systems? (a) the weather (b) the Moon (c) people (d) nobody at all
11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) a password (d) training data
12. 12.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
13. 13.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
14. 14.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
15. 15.Which of these is a fact about AI? (a) AI knows everything (b) AI copies data patterns (c) confident means correct (d) AI is never wrong
16. 16.True or false: “what training builds” is the model. (a) True (b) False
17. 17.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
18. 18.⏩ In machine learning, which comes first: tomorrow’s rain guess or 500 labelled leaf photos? (a) tomorrow’s rain guess (b) 500 labelled leaf photos
19. 19.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) labelled fruit photos (d) old emails marked spam
20. 20.🔍 Which is the odd one out? (a) a light switch (b) video suggestions (c) face unlock on a phone (d) photos grouped by face
21. 21.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
22. 22.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a map predicting traffic (c) a printed timetable (d) a doorbell
23. 23.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) same steps every time (d) improves with more data
24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
25. 25.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) one group only (c) fewer tests (d) more varied data
26. 26.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
27. 27.True or false: “check who is missing” helps reduce bias. (a) True (b) False
28. 28.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
29. 29.🔍 Which is the odd one out? (a) a stopwatch (b) video suggestions (c) voice typing (d) face unlock on a phone
30. 30.Which of these is a fact about AI? (a) AI has real feelings (b) AI always checks facts (c) confident means correct (d) AI can make up facts
31. 31.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
33. 33.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
34. 34.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
35. 35.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
36. 36.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
37. 37.Which of these helps reduce bias? (a) use one group only (b) ask different people (c) test on one group only (d) copy old unfair choices
38. 38.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) predicting (b) generating (c) recognising (d) recommending
39. 39.Which of these is bad for training a model? (a) new data for testing (b) wrong labels (c) checking labels twice (d) correct labels
40. 40.True or false: “AI knows everything” is a fact about AI. (a) True (b) False

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