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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 952 · 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: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  2. 2.True or false: “rain sound effects for a play” asks for text. (a) False (b) True
  3. 3.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  4. 4.True or false: “correct labels” is good for training a model. (a) True (b) False
  5. 5.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  6. 6.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  7. 7.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
  8. 8.Which of these helps reduce bias? (a) ignore complaints (b) add more of the same (c) use one group only (d) check who is missing
  9. 9.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  10. 10.Which of these is a fact about AI? (a) AI knows everything (b) AI learns from data (c) AI always checks facts (d) AI is never wrong
  11. 11.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  12. 12.Which of these is a myth about AI? (a) AI learns from data (b) AI knows everything (c) AI can make up facts (d) AI answers need checking
  13. 13.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  14. 14.Which of these describes how a normal program works? (a) gives a likely answer (b) follows fixed rules (c) handles unseen examples (d) learns from examples
  15. 15.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  16. 16.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  17. 17.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
  18. 18.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
  19. 19.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  20. 20.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) the learned patterns (d) old emails marked spam
  21. 21.Which of these is a myth about AI? (a) AI is never wrong (b) AI can make up facts (c) AI can be wrong (d) AI learns from data
  22. 22.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  23. 23.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  24. 24.True or false: finding 10% of a price only needs a simple fixed rule. (a) False (b) True
  25. 25.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
  26. 26.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can be wrong (c) AI learns from data (d) AI always checks facts
  27. 27.True or false: turning your spoken words into typed text is AI recognising something. (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) correct labels (b) checking labels twice (c) examples of every type (d) very few examples
  29. 29.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  30. 30.Which of these is generative AI (it makes something new)? (a) predicting rain (b) unlocking with a face (c) suggesting a video (d) creating a cartoon
  31. 31.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) text (c) an image
  32. 32.Which of these is training data? (a) the trained program (b) flagging a new email (c) naming a new leaf (d) 500 labelled leaf photos
  33. 33.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  34. 34.Which of these is a fact about AI? (a) confident means correct (b) AI can make up facts (c) long answers are true (d) AI always checks facts
  35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) predicting (d) singing
  36. 36.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a prediction (c) a label error (d) training data
  37. 37.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  38. 38.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  39. 39.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) checking labels twice (d) wrong labels
  40. 40.Which of these is generative AI (it makes something new)? (a) spotting spam (b) spotting a sick leaf (c) turning speech to text (d) writing quiz questions

Answer key

  1. True
  2. False
  3. good for training
  4. True
  5. True
  6. uses AI
  7. True
  8. check who is missing
  9. balanced data
  10. AI learns from data
  11. labelled fruit photos
  12. AI knows everything
  13. False
  14. follows fixed rules
  15. bad for training
  16. AI
  17. the right answer tag
  18. not AI
  19. True
  20. the learned patterns
  21. AI is never wrong
  22. a myth
  23. adds to bias
  24. True
  25. to see if it works
  26. AI always checks facts
  27. True
  28. very few examples
  29. a real check
  30. creating a cartoon
  31. an image
  32. 500 labelled leaf photos
  33. a normal program
  34. AI can make up facts
  35. predicting
  36. a prediction
  37. data, model, prediction
  38. a prediction
  39. checking labels twice
  40. writing quiz questions

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