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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 91 · 40 questions
TalentJR

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.

NameDateTime takenScore ___ / 40
  1. 1.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
  2. 2.Which of these adds to bias? (a) ask different people (b) copy old unfair choices (c) check who is missing (d) balance the data
  3. 3.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen
  4. 4.True or false: “write a poem about the monsoon” asks for music or sound. (a) True (b) False
  5. 5.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  6. 6.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
  7. 7.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  8. 8.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “spam”. (a) True (b) False
  9. 9.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  10. 10.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) use one group only (d) fix wrong labels
  11. 11.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
  12. 12.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  13. 13.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  14. 14.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  15. 15.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  16. 16.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  17. 17.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  18. 18.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  19. 19.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  20. 20.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
  21. 21.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) recommending (d) charging
  22. 22.🔍 Which is the odd one out? (a) AI can be wrong (b) AI is never wrong (c) confident means correct (d) AI knows everything
  23. 23.📱 What is the AI doing here: an online shop showing “you may also like”? (a) predicting (b) generating (c) recognising (d) recommending
  24. 24.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
  25. 25.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) follows fixed rules (d) gives a likely answer
  26. 26.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  27. 27.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) check it on paper (b) copy it straight away (c) never do maths (d) ask it to hurry
  28. 28.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  29. 29.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a password (d) a prediction
  30. 30.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  31. 31.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  32. 32.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  33. 33.True or false: a weather app guessing tomorrow’s rain is AI generating something new. (a) False (b) True
  34. 34.Which of these is a fact about AI? (a) AI can mix up numbers (b) AI always checks facts (c) AI is never wrong (d) confident means correct
  35. 35.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
  36. 36.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  37. 37.Which of these is training data? (a) typing a new spoken word (b) past weather records (c) naming a new leaf (d) naming a new fruit photo
  38. 38.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
  39. 39.🔍 Which is the odd one out? (a) examples of every type (b) labels added at random (c) new data for testing (d) checking labels twice
  40. 40.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, just like us (c) only on weekends (d) yes, it gets sad

Answer key

  1. a basic calculator
  2. copy old unfair choices
  3. it learns from examples
  4. False
  5. uses AI
  6. False
  7. a real check
  8. True
  9. no, it can be wrong
  10. fix wrong labels
  11. True
  12. True
  13. True
  14. AI
  15. recorded spoken words
  16. False
  17. what training builds
  18. False
  19. False
  20. an image
  21. recommending
  22. AI can be wrong
  23. recommending
  24. balanced data
  25. follows fixed rules
  26. a myth
  27. check it on paper
  28. reduces bias
  29. a prediction
  30. to see if it works
  31. adds to bias
  32. True
  33. False
  34. AI can mix up numbers
  35. True
  36. what training builds
  37. past weather records
  38. True
  39. labels added at random
  40. no, it finds patterns

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