AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 427 · 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 a myth about AI? (a) AI copies data patterns (b) AI answers need checking (c) AI learns from data (d) AI knows everything
2. 2.Which of these is a fact about AI? (a) AI can make up facts (b) AI is never wrong (c) long answers are true (d) confident means correct
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) reading number plates (c) writing a new poem (d) drafting a letter
4. 4.Which of these helps reduce bias? (a) balance the data (b) add more of the same (c) use one group only (d) ignore complaints
5. 5.Which of these is bad for training a model? (a) new data for testing (b) clear, sharp examples (c) many varied examples (d) only one kind of example
6. 6.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) training data (d) a password
7. 7.True or false: “AI answers need checking” is a myth about AI. (a) True (b) False
8. 8.Which of these is a fact about AI? (a) long answers are true (b) AI has real feelings (c) AI is never wrong (d) AI can be wrong
9. 9.🔍 Which is the odd one out? (a) AI learns from data (b) AI can mix up numbers (c) long answers are true (d) AI can make up facts
10. 10.🐶 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
11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
12. 12.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
13. 13.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
14. 14.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
15. 15.Which of these helps reduce bias? (a) add more of the same (b) use one group only (c) check who is missing (d) ignore complaints
16. 16.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
17. 17.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) generating (c) recommending (d) recognising
18. 18.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
19. 19.True or false: a car camera reading a speed sign is AI generating something new. (a) True (b) False
20. 20.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
21. 21.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) no, it follows rules (c) only at night (d) yes, it can think
22. 22.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) uses rules people wrote (d) gives a likely answer
23. 23.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) typing a new spoken word (d) labelled fruit photos
24. 24.True or false: “a cartoon of a dancing elephant” asks for an image. (a) True (b) False
25. 25.🏠 AI or not AI: a doorbell? (a) not AI (b) uses AI
26. 26.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
27. 27.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) same steps every time (d) learns from examples
28. 28.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
29. 29.True or false: “wrong labels” is bad for training a model. (a) True (b) False
30. 30.True or false: “typing a new spoken word” is training data. (a) True (b) False
31. 31.True or false: a map app guessing how long a trip will take is AI recognising something. (a) True (b) False
32. 32.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
33. 33.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
34. 34.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
35. 35.True or false: “correct labels” is good for training a model. (a) False (b) True
36. 36.True or false: “add more of the same” adds to bias. (a) True (b) False
37. 37.🔍 Which is the odd one out? (a) correct labels (b) clear, sharp examples (c) labels added at random (d) new data for testing
38. 38.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) its training data (c) its colour (d) the weather
39. 39.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
40. 40.True or false: “learns from examples” describes how a normal program works. (a) True (b) False

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