AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 866 · 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.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
2. 2.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
3. 3.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
4. 4.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
5. 5.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
6. 6.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) predicts likely words (d) copies one website
7. 7.Which of these is a fact about AI? (a) AI knows everything (b) long answers are true (c) AI has real feelings (d) AI can mix up numbers
8. 8.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI has real feelings (d) AI answers need checking
9. 9.True or false: a music app suggesting a song you may like is AI recommending something. (a) False (b) True
10. 10.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
11. 11.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) predicting (d) sleeping
12. 12.True or false: “the trained program” is a prediction. (a) False (b) True
13. 13.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it uses electricity (d) it has a screen
14. 14.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
15. 15.Which of these describes how a normal program works? (a) spots patterns in data (b) makes a best guess (c) follows fixed rules (d) handles unseen examples
16. 16.🔍 Which is the odd one out? (a) confident means correct (b) AI can make up facts (c) AI copies data patterns (d) AI can be wrong
17. 17.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) text (c) an image
18. 18.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
19. 19.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
20. 20.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) only at night (c) yes, it is smart (d) no, it follows rules
21. 21.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
22. 22.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
23. 23.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
24. 24.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) music or sound (c) an image
25. 25.Which of these is the model? (a) tomorrow’s rain guess (b) past weather records (c) labelled fruit photos (d) the learned patterns
26. 26.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
27. 27.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
28. 28.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) True (b) False
29. 29.🔍 Which is the odd one out? (a) spotting a sick leaf (b) sorting photos by face (c) inventing a recipe (d) unlocking with a face
30. 30.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) forget everything (d) change colour
31. 31.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
32. 32.True or false: “correct labels” is good for training a model. (a) True (b) False
33. 33.True or false: a phone unlocking when it sees your face is AI recommending something. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: what training builds or old emails marked spam? (a) what training builds (b) old emails marked spam
35. 35.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
36. 36.True or false: “add more of the same” adds to bias. (a) True (b) False
37. 37.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
38. 38.🔍 Which is the odd one out? (a) video suggestions (b) a printed timetable (c) a voice assistant (d) voice typing
39. 39.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
40. 40.Which of these is training data? (a) the learned patterns (b) naming a new leaf (c) 500 labelled leaf photos (d) typing a new spoken word

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