AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 262 · 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.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
2. 2.⏩ In machine learning, which comes first: tomorrow’s rain guess or past weather records? (a) tomorrow’s rain guess (b) past weather records
3. 3.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI is never wrong (d) AI learns from data
4. 4.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
5. 5.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
6. 6.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drawing a new picture (c) writing quiz questions (d) sorting photos by face
7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
8. 8.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
9. 9.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) only on weekends (d) no, it finds patterns
10. 10.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
11. 11.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
12. 12.🔍 Which is the odd one out? (a) wrong labels (b) photos in many lights (c) many varied examples (d) clear, sharp examples
13. 13.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
14. 14.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
15. 15.✍️ How does an AI chatbot write its replies? (a) copies one website (b) uses magic (c) asks a person (d) predicts likely words
16. 16.True or false: “AI knows everything” is a fact about AI. (a) False (b) True
17. 17.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
18. 18.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
19. 19.Which of these describes how a normal program works? (a) learns from examples (b) makes a best guess (c) spots patterns in data (d) one set rule per case
20. 20.Which of these is generative AI (it makes something new)? (a) predicting rain (b) drafting a letter (c) turning speech to text (d) reading number plates
21. 21.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) a basic calculator (d) voice typing
22. 22.🔍 Which is the odd one out? (a) examples of every type (b) many varied examples (c) checking labels twice (d) labels added at random
23. 23.Which of these is bad for training a model? (a) copies of one photo (b) many varied examples (c) examples of every type (d) clear, sharp examples
24. 24.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
25. 25.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
26. 26.Which of these is bad for training a model? (a) examples of every type (b) only one kind of example (c) new data for testing (d) correct labels
27. 27.⏩ In machine learning, which comes first: typing a new spoken word or labelled fruit photos? (a) typing a new spoken word (b) labelled fruit photos
28. 28.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
29. 29.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
30. 30.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
31. 31.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
32. 32.🏷️ 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
33. 33.Which of these adds to bias? (a) test on many groups (b) fix wrong labels (c) copy old unfair choices (d) ask different people
34. 34.True or false: “examples of every type” is good for training a model. (a) True (b) False
35. 35.Which of these uses AI? (a) a calculator (b) a voice assistant (c) a torch (d) a light switch
36. 36.True or false: “rain sound effects for a play” asks for text. (a) False (b) True
37. 37.True or false: “recorded spoken words” is the model. (a) True (b) False
38. 38.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
39. 39.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
40. 40.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing a new poem (c) unlocking with a face (d) spotting spam

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