AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 706 · 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.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
2. 2.🔍 Which is the odd one out? (a) copy old unfair choices (b) balance the data (c) ask different people (d) check who is missing
3. 3.Which of these describes how a normal program works? (a) follows fixed rules (b) improves with more data (c) learns from examples (d) makes a best guess
4. 4.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
5. 5.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) look in your textbook (c) guess (d) pick a lucky number
6. 6.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
7. 7.Which of these is a fact about AI? (a) long answers are true (b) AI is never wrong (c) AI can be wrong (d) confident means correct
8. 8.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
9. 9.🔍 Which is the odd one out? (a) test on many groups (b) ask different people (c) use one group only (d) add varied examples
10. 10.🏷️ 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
11. 11.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
12. 12.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) text (b) an image (c) music or sound
13. 13.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
14. 14.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
15. 15.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
16. 16.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
17. 17.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
18. 18.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
19. 19.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
20. 20.Which of these uses AI? (a) a microwave timer (b) voice typing (c) a light switch (d) a stopwatch
21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
22. 22.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
23. 23.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
24. 24.Which of these is a fact about AI? (a) confident means correct (b) AI knows everything (c) AI is never wrong (d) AI can mix up numbers
25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) suggesting a video (c) composing a new tune (d) drafting a letter
26. 26.Which of these helps reduce bias? (a) test on one group only (b) use one group only (c) add more of the same (d) check who is missing
27. 27.🔍 Which is the odd one out? (a) AI knows everything (b) AI can mix up numbers (c) AI can make up facts (d) AI learns from data
28. 28.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
29. 29.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) clean screens (d) learn from data
30. 30.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
31. 31.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
32. 32.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
33. 33.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
34. 34.⏩ In machine learning, which comes first: labelled fruit photos or naming a new leaf? (a) labelled fruit photos (b) naming a new leaf
35. 35.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
36. 36.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) text (c) music or sound
37. 37.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
38. 38.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
39. 39.🔍 Which is the odd one out? (a) sorting photos by face (b) turning speech to text (c) suggesting a video (d) making up a story
40. 40.⏩ In machine learning, which comes first: naming a new fruit photo or past weather records? (a) naming a new fruit photo (b) past weather records

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