AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 839 · 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.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
2. 2.Which of these helps reduce bias? (a) ignore complaints (b) add varied examples (c) copy old unfair choices (d) use one group only
3. 3.🔍 Which is the odd one out? (a) drafting a letter (b) drawing a new picture (c) inventing a recipe (d) predicting rain
4. 4.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
5. 5.🔍 Which is the odd one out? (a) a digital watch (b) a torch (c) a doorbell (d) video suggestions
6. 6.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
7. 7.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
8. 8.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
9. 9.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
10. 10.True or false: recognising a bird from its song needs AI that learns from examples. (a) False (b) True
11. 11.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
12. 12.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
13. 13.True or false: “a summary of chapter 3” asks for music or sound. (a) True (b) False
14. 14.🔍 Which is the odd one out? (a) check who is missing (b) ask different people (c) test on many groups (d) copy old unfair choices
15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
16. 16.⏩ In machine learning, which comes first: the trained program or 500 labelled leaf photos? (a) the trained program (b) 500 labelled leaf photos
17. 17.🔍 Which is the odd one out? (a) use one group only (b) fix wrong labels (c) add varied examples (d) ask different people
18. 18.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) spots patterns in data (d) same steps every time
19. 19.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
20. 20.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) True (b) False
21. 21.Which of these is a fact about AI? (a) AI is never wrong (b) AI always checks facts (c) AI copies data patterns (d) confident means correct
22. 22.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
23. 23.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
24. 24.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) naming a new fruit photo (d) what training builds
25. 25.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
26. 26.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
27. 27.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
28. 28.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
29. 29.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
30. 30.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
31. 31.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
32. 32.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
33. 33.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
34. 34.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) skip testing (d) ask different people
35. 35.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
36. 36.Which of these is training data? (a) old emails marked spam (b) naming a new leaf (c) flagging a new email (d) what training builds
37. 37.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
38. 38.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
39. 39.Which of these is generative AI (it makes something new)? (a) spotting spam (b) writing quiz questions (c) spotting a sick leaf (d) turning speech to text
40. 40.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI

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