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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 698 · 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.📱 What is the AI doing here: a car camera reading a speed sign? (a) recommending (b) generating (c) recognising (d) predicting
  2. 2.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
  3. 3.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) handles unseen examples (d) one set rule per case
  4. 4.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
  5. 5.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  6. 6.🔍 Which is the odd one out? (a) a voice assistant (b) an app translating signs (c) an image generator (d) a printed timetable
  7. 7.True or false: a map app guessing how long a trip will take is AI generating something new. (a) True (b) False
  8. 8.⏩ In machine learning, which comes first: tomorrow’s rain guess or labelled fruit photos? (a) tomorrow’s rain guess (b) labelled fruit photos
  9. 9.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  10. 10.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  11. 11.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a prediction (c) a password (d) a label error
  12. 12.🏷️ 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
  13. 13.Which of these describes how AI works? (a) follows fixed rules (b) uses rules people wrote (c) one set rule per case (d) gives a likely answer
  14. 14.True or false: “never learns from data” describes how AI works. (a) True (b) False
  15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
  16. 16.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) follows fixed rules (d) handles unseen examples
  17. 17.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  18. 18.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) reading number plates (c) composing a new tune (d) unlocking with a face
  19. 19.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  20. 20.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  21. 21.True or false: “a logo idea for the eco club” asks for music or sound. (a) False (b) True
  22. 22.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
  23. 23.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  24. 24.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) follows fixed rules (d) spots patterns in data
  25. 25.🏷️ 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
  26. 26.🔍 Which is the odd one out? (a) fix wrong labels (b) test on many groups (c) add varied examples (d) use one group only
  27. 27.Which of these helps reduce bias? (a) test on one group only (b) skip testing (c) check who is missing (d) copy old unfair choices
  28. 28.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recommending (b) recognising (c) generating (d) predicting
  29. 29.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
  30. 30.True or false: a map app guessing how long a trip will take is AI recommending something. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) new data for testing (b) copies of one photo (c) wrong labels (d) blurry, unclear photos
  32. 32.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  33. 33.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
  34. 34.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) test on many groups (b) ignore complaints (c) skip testing (d) copy old unfair choices
  36. 36.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  37. 37.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  38. 38.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
  39. 39.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  40. 40.📚 Good or bad for training a model: clear, sharp examples? (a) good for training (b) bad for training

Answer key

  1. recognising
  2. not AI
  3. one set rule per case
  4. an image
  5. balanced data
  6. a printed timetable
  7. False
  8. labelled fruit photos
  9. False
  10. a simple rule is enough
  11. a prediction
  12. not spam
  13. gives a likely answer
  14. False
  15. not spam
  16. handles unseen examples
  17. False
  18. composing a new tune
  19. True
  20. True
  21. False
  22. no, check it anyway
  23. True
  24. spots patterns in data
  25. spam
  26. use one group only
  27. check who is missing
  28. generating
  29. recognising
  30. False
  31. new data for testing
  32. not AI
  33. False
  34. True
  35. test on many groups
  36. AI
  37. True
  38. False
  39. bad for training
  40. good for training

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