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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 366 · 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.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  2. 2.🤔 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
  3. 3.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  4. 4.Which of these is good for training a model? (a) wrong labels (b) copies of one photo (c) checking labels twice (d) blurry, unclear photos
  5. 5.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) recommending (b) generating (c) predicting (d) recognising
  6. 6.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
  7. 7.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  8. 8.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) handles unseen examples (d) never learns from data
  9. 9.True or false: “use one group only” adds to bias. (a) False (b) True
  10. 10.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) training data (b) the model (c) a prediction
  11. 11.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  12. 12.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  13. 13.Which of these describes how a normal program works? (a) learns from examples (b) improves with more data (c) spots patterns in data (d) one set rule per case
  14. 14.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  15. 15.🔍 Which is the odd one out? (a) balance the data (b) copy old unfair choices (c) test on many groups (d) add varied examples
  16. 16.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) suggesting a video (d) drawing a new picture
  18. 18.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) clear, sharp examples (d) very few examples
  19. 19.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  20. 20.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) predicting rain (c) drawing a new picture (d) suggesting a video
  21. 21.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  22. 22.🔍 Which is the odd one out? (a) sorting photos by face (b) making up a story (c) creating a cartoon (d) inventing a recipe
  23. 23.True or false: turning your spoken words into typed text is AI predicting something. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) AI answers need checking (b) AI copies data patterns (c) AI always checks facts (d) AI can make up facts
  25. 25.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  26. 26.🔍 Which is the odd one out? (a) AI has real feelings (b) AI can make up facts (c) AI learns from data (d) AI answers need checking
  27. 27.True or false: “the learned patterns” is a prediction. (a) True (b) False
  28. 28.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  29. 29.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
  30. 30.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) music or sound (c) text
  31. 31.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI knows everything (d) AI copies data patterns
  32. 32.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
  33. 33.Which of these uses AI? (a) a digital watch (b) an AI chatbot (c) a torch (d) a stopwatch
  34. 34.🔍 Which is the odd one out? (a) AI can mix up numbers (b) confident means correct (c) AI knows everything (d) AI is never wrong
  35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) the model (c) a prediction
  36. 36.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  37. 37.True or false: “testing on training data” is good for training a model. (a) False (b) True
  38. 38.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) long answers are true (d) AI learns from data
  39. 39.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  40. 40.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program

Answer key

  1. True
  2. no, check it anyway
  3. sorts or predicts
  4. checking labels twice
  5. recommending
  6. True
  7. balanced data
  8. never learns from data
  9. True
  10. training data
  11. 500 labelled leaf photos
  12. True
  13. one set rule per case
  14. balanced data
  15. copy old unfair choices
  16. False
  17. drawing a new picture
  18. very few examples
  19. a fact
  20. drawing a new picture
  21. True
  22. sorting photos by face
  23. False
  24. AI always checks facts
  25. one-sided data
  26. AI has real feelings
  27. False
  28. AI
  29. look in your textbook
  30. an image
  31. AI knows everything
  32. True
  33. an AI chatbot
  34. AI can mix up numbers
  35. the model
  36. False
  37. False
  38. AI learns from data
  39. False
  40. AI

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