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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 218 · 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 describes how AI works? (a) does exactly as coded (b) learns from examples (c) one set rule per case (d) follows fixed rules
  2. 2.True or false: “a summary of chapter 3” asks for text. (a) False (b) True
  3. 3.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  5. 5.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  6. 6.True or false: “what training builds” is training data. (a) False (b) True
  7. 7.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
  8. 8.Which of these is good for training a model? (a) copies of one photo (b) photos in many lights (c) very few examples (d) labels added at random
  9. 9.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
  10. 10.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  11. 11.🔍 Which is the odd one out? (a) test on many groups (b) test on one group only (c) use one group only (d) skip testing
  12. 12.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  13. 13.Which of these is a prediction? (a) past weather records (b) what training builds (c) the learned patterns (d) flagging a new email
  14. 14.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  15. 15.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) text (c) music or sound
  16. 16.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) recommending (c) predicting (d) generating
  17. 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  18. 18.Which of these uses AI? (a) a microwave timer (b) a fan regulator (c) a voice assistant (d) a light switch
  19. 19.🔍 Which is the odd one out? (a) long answers are true (b) AI knows everything (c) AI answers need checking (d) AI is never wrong
  20. 20.True or false: “confident means correct” is a myth about AI. (a) False (b) True
  21. 21.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
  22. 22.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  23. 23.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) confident means correct (d) AI can make up facts
  24. 24.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  25. 25.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) suggesting a video (c) drawing a new picture (d) drafting a letter
  27. 27.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) examples of every type (d) correct labels
  28. 28.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
  29. 29.True or false: “recorded spoken words” is a prediction. (a) False (b) True
  30. 30.Which of these is generative AI (it makes something new)? (a) spotting spam (b) turning speech to text (c) creating a cartoon (d) predicting rain
  31. 31.True or false: “a soft lullaby melody” asks for music or sound. (a) True (b) False
  32. 32.🔍 Which is the odd one out? (a) video suggestions (b) photos grouped by face (c) an image generator (d) a printed timetable
  33. 33.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) True (b) False
  34. 34.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  35. 35.Which of these is a fact about AI? (a) confident means correct (b) AI knows everything (c) AI is never wrong (d) AI can be wrong
  36. 36.Which of these is generative AI (it makes something new)? (a) predicting rain (b) sorting photos by face (c) spotting spam (d) writing a new poem
  37. 37.Which of these describes how a normal program works? (a) gives a likely answer (b) never learns from data (c) improves with more data (d) makes a best guess
  38. 38.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  39. 39.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  40. 40.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI

Answer key

  1. learns from examples
  2. True
  3. the learned patterns
  4. one-sided data
  5. balanced data
  6. False
  7. True
  8. photos in many lights
  9. False
  10. no
  11. test on many groups
  12. False
  13. flagging a new email
  14. True
  15. text
  16. predicting
  17. not spam
  18. a voice assistant
  19. AI answers need checking
  20. True
  21. bad for training
  22. a basic calculator
  23. AI can make up facts
  24. spam
  25. False
  26. suggesting a video
  27. wrong labels
  28. bad for training
  29. False
  30. creating a cartoon
  31. True
  32. a printed timetable
  33. False
  34. False
  35. AI can be wrong
  36. writing a new poem
  37. never learns from data
  38. True
  39. a myth
  40. a normal program

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