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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 911 · 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 training data? (a) recorded spoken words (b) flagging a new email (c) what training builds (d) typing a new spoken word
  2. 2.🔍 Which is the odd one out? (a) add more of the same (b) check who is missing (c) copy old unfair choices (d) test on one group only
  3. 3.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  4. 4.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  5. 5.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
  6. 6.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  7. 7.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  8. 8.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) True (b) False
  9. 9.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  10. 10.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
  11. 11.✅ Is this a real check of an AI answer: it is long and detailed? (a) a real check (b) not a real check
  12. 12.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  13. 13.Which of these adds to bias? (a) test on many groups (b) add varied examples (c) check who is missing (d) add more of the same
  14. 14.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it learns from examples (d) it has a screen
  15. 15.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  16. 16.Which of these describes how a normal program works? (a) gives a likely answer (b) does exactly as coded (c) makes a best guess (d) handles unseen examples
  17. 17.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  18. 18.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) unlocking with a face (c) turning speech to text (d) suggesting a video
  19. 19.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  20. 20.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  21. 21.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  22. 22.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) True (b) False
  23. 23.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  24. 24.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  25. 25.True or false: a weather app guessing tomorrow’s rain is AI recognising something. (a) True (b) False
  26. 26.🔍 Which is the odd one out? (a) suggesting a video (b) writing a new poem (c) spotting a sick leaf (d) spotting spam
  27. 27.Which of these is bad for training a model? (a) many varied examples (b) photos in many lights (c) new data for testing (d) very few examples
  28. 28.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) generating (c) predicting (d) recognising
  29. 29.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
  30. 30.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  32. 32.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  33. 33.True or false: “new data for testing” is good for training a model. (a) False (b) True
  34. 34.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) photos in many lights (d) only one kind of example
  35. 35.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) fix wrong labels (b) ask different people (c) check who is missing (d) test on one group only
  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.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
  39. 39.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  40. 40.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) test on one group only (d) ask different people

Answer key

  1. recorded spoken words
  2. check who is missing
  3. a normal program
  4. False
  5. uses AI
  6. old emails marked spam
  7. False
  8. True
  9. the trained program
  10. a basic calculator
  11. not a real check
  12. not AI
  13. add more of the same
  14. it learns from examples
  15. a normal program
  16. does exactly as coded
  17. a myth
  18. creating a cartoon
  19. training data
  20. False
  21. False
  22. False
  23. False
  24. True
  25. False
  26. writing a new poem
  27. very few examples
  28. predicting
  29. uses AI
  30. True
  31. training data
  32. adds to bias
  33. True
  34. photos in many lights
  35. True
  36. test on one group only
  37. True
  38. an image
  39. False
  40. ask different people

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