AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 241 · 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.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
2. 2.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
3. 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) composing a new tune (c) drafting a letter (d) making up a story
4. 4.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
5. 5.✨ What does generative AI do? (a) only stores files (b) charges batteries (c) only adds numbers (d) makes new content
6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
7. 7.True or false: “what training builds” is the model. (a) False (b) True
8. 8.🔍 Which is the odd one out? (a) a printed timetable (b) a calculator (c) a light switch (d) face unlock on a phone
9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
10. 10.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
11. 11.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
12. 12.True or false: “many varied examples” is bad for training a model. (a) False (b) True
13. 13.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a label (d) a battery
14. 14.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
15. 15.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
16. 16.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
17. 17.🔍 Which is the odd one out? (a) writing quiz questions (b) spotting spam (c) reading number plates (d) unlocking with a face
18. 18.True or false: “five quiz questions on fractions” asks for an image. (a) False (b) True
19. 19.Which of these adds to bias? (a) add more of the same (b) fix wrong labels (c) test on many groups (d) add varied examples
20. 20.True or false: “the trained program” is the model. (a) False (b) True
21. 21.🔍 Which is the odd one out? (a) labels added at random (b) wrong labels (c) blurry, unclear photos (d) new data for testing
22. 22.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
23. 23.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
24. 24.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) predicting (d) generating
25. 25.True or false: “a poster of a rainforest” asks for an image. (a) True (b) False
26. 26.Which of these is good for training a model? (a) wrong labels (b) blurry, unclear photos (c) only one kind of example (d) examples of every type
27. 27.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
28. 28.Which of these describes how AI works? (a) improves with more data (b) one set rule per case (c) uses rules people wrote (d) never learns from data
29. 29.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a calculator (c) a microwave timer (d) an AI chatbot
30. 30.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will be perfect (b) it may get it wrong (c) it will turn yellow (d) it will shut down
32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
33. 33.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
34. 34.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
35. 35.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) clean screens (d) print pages
36. 36.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
37. 37.🔮 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
38. 38.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) generating (c) recognising (d) recommending
39. 39.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) nobody at all (d) the weather
40. 40.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts

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