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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 134 · 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 generative AI (it makes something new)? (a) suggesting a video (b) spotting a sick leaf (c) unlocking with a face (d) creating a cartoon
  2. 2.True or false: “what training builds” is training data. (a) True (b) False
  3. 3.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  4. 4.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  5. 5.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
  6. 6.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) tomorrow’s rain guess (d) naming a new fruit photo
  7. 7.🔍 Which is the odd one out? (a) suggesting a video (b) spotting a sick leaf (c) spotting spam (d) drawing a new picture
  8. 8.True or false: “learns from examples” describes how a normal program works. (a) True (b) False
  9. 9.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  10. 10.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  11. 11.🔍 Which is the odd one out? (a) ignore complaints (b) ask different people (c) balance the data (d) check who is missing
  12. 12.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can be wrong (c) confident means correct (d) AI copies data patterns
  13. 13.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) bias from data (c) a fair model (d) a broken screen
  14. 14.Which of these adds to bias? (a) add varied examples (b) fix wrong labels (c) test on many groups (d) use one group only
  15. 15.🎨 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
  16. 16.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  17. 17.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) voice typing (b) an app translating signs (c) a printed timetable (d) a voice assistant
  19. 19.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  20. 20.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  21. 21.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) True (b) False
  22. 22.🤖 AI or a normal program: which one “one set rule per case”? (a) AI (b) a normal program
  23. 23.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) ask different people (d) balance the data
  24. 24.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
  25. 25.Which of these describes how AI works? (a) makes a best guess (b) never learns from data (c) one set rule per case (d) uses rules people wrote
  26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) sorting photos by face (d) writing a new poem
  27. 27.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  28. 28.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  29. 29.Which of these is generative AI (it makes something new)? (a) predicting rain (b) spotting spam (c) composing a new tune (d) suggesting a video
  30. 30.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) balanced data (b) one-sided data
  31. 31.🔍 Which is the odd one out? (a) a calculator (b) a spam filter (c) an image generator (d) a voice assistant
  32. 32.🔍 Which is the odd one out? (a) labels added at random (b) copies of one photo (c) very few examples (d) photos in many lights
  33. 33.True or false: “it sounds very sure” is NOT a real way to check an AI answer. (a) True (b) False
  34. 34.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  35. 35.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ignore complaints (d) balance the data
  36. 36.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  37. 37.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  38. 38.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
  39. 39.Which of these is not AI? (a) voice typing (b) a spam filter (c) face unlock on a phone (d) a digital watch
  40. 40.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)

Answer key

  1. creating a cartoon
  2. False
  3. sorts or predicts
  4. training data
  5. trust the textbook
  6. labelled fruit photos
  7. drawing a new picture
  8. False
  9. uses AI
  10. makes something new
  11. ignore complaints
  12. confident means correct
  13. bias from data
  14. use one group only
  15. an image
  16. good for training
  17. True
  18. a printed timetable
  19. the learned patterns
  20. a fact
  21. False
  22. a normal program
  23. copy old unfair choices
  24. True
  25. makes a best guess
  26. sorting photos by face
  27. no, check it anyway
  28. False
  29. composing a new tune
  30. balanced data
  31. a calculator
  32. photos in many lights
  33. True
  34. adds to bias
  35. ignore complaints
  36. False
  37. True
  38. recommending
  39. a digital watch
  40. needs AI (learning)

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