AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 525 · 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: “correct labels” is bad for training a model. (a) True (b) False
2. 2.Which of these describes how AI works? (a) spots patterns in data (b) does exactly as coded (c) same steps every time (d) one set rule per case
3. 3.🔍 Which is the odd one out? (a) drafting a letter (b) composing a new tune (c) creating a cartoon (d) spotting spam
4. 4.🔍 Which is the odd one out? (a) a torch (b) a fan regulator (c) a stopwatch (d) an AI chatbot
5. 5.🔍 Which is the odd one out? (a) AI always checks facts (b) confident means correct (c) AI learns from data (d) long answers are true
6. 6.🔍 Which is the odd one out? (a) blurry, unclear photos (b) photos in many lights (c) new data for testing (d) clear, sharp examples
7. 7.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
8. 8.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
9. 9.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
10. 10.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
11. 11.True or false: “examples of every type” is bad for training a model. (a) False (b) True
12. 12.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) few child voices in data (d) it was a rainy day
13. 13.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) learn from data (d) charge faster
14. 14.🏷️ 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
15. 15.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
16. 16.🏠 AI or not AI: an app translating signs? (a) not AI (b) uses AI
17. 17.Which of these is the model? (a) recorded spoken words (b) tomorrow’s rain guess (c) the trained program (d) old emails marked spam
18. 18.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
19. 19.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
20. 20.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
21. 21.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) predicting (d) singing
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) not spam (b) spam
23. 23.Which of these is not AI? (a) photos grouped by face (b) an app translating signs (c) a calculator (d) an image generator
24. 24.Which of these is a myth about AI? (a) AI knows everything (b) AI can mix up numbers (c) AI learns from data (d) AI can be wrong
25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
26. 26.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
28. 28.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
29. 29.Which of these is the model? (a) the learned patterns (b) tomorrow’s rain guess (c) old emails marked spam (d) typing a new spoken word
30. 30.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
31. 31.Which of these uses AI? (a) a calculator (b) voice typing (c) a stopwatch (d) a doorbell
32. 32.Which of these is a prediction? (a) labelled fruit photos (b) typing a new spoken word (c) past weather records (d) what training builds
33. 33.🛠️ Which does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
34. 34.Which of these is a fact about AI? (a) AI can mix up numbers (b) AI has real feelings (c) AI is never wrong (d) long answers are true
35. 35.🎨 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
36. 36.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI copies data patterns (d) long answers are true
37. 37.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
38. 38.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True
39. 39.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
40. 40.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) slower to switch on (d) better at its task

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