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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 399 · 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.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  2. 2.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  3. 3.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  4. 4.🔍 Which is the odd one out? (a) video suggestions (b) face unlock on a phone (c) a calculator (d) an app translating signs
  5. 5.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  6. 6.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
  7. 7.True or false: “follows fixed rules” describes how AI works. (a) False (b) True
  8. 8.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  9. 9.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  10. 10.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  11. 11.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) sorting photos by face (d) creating a cartoon
  12. 12.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) drafting a letter (c) drawing a new picture (d) unlocking with a face
  14. 14.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  15. 15.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) False (b) True
  16. 16.Which of these uses AI? (a) a calculator (b) face unlock on a phone (c) a doorbell (d) a digital watch
  17. 17.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) does exactly as coded (d) improves with more data
  18. 18.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) predicting (c) generating (d) recognising
  19. 19.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
  20. 20.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  21. 21.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  22. 22.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  23. 23.True or false: reading messy handwriting only needs a simple fixed rule. (a) False (b) True
  24. 24.True or false: “confident means correct” is a fact about AI. (a) False (b) True
  25. 25.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it learns from examples (d) it has a screen
  26. 26.Which of these adds to bias? (a) balance the data (b) add more of the same (c) check who is missing (d) ask different people
  27. 27.Which of these describes how AI works? (a) does exactly as coded (b) uses rules people wrote (c) follows fixed rules (d) learns from examples
  28. 28.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) drawing a new picture (c) spotting a sick leaf (d) reading number plates
  29. 29.🔍 Which is the odd one out? (a) ignore complaints (b) check who is missing (c) balance the data (d) fix wrong labels
  30. 30.Which of these is the model? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) flagging a new email
  31. 31.✅ Is this a real check of an AI answer: match it to the textbook? (a) a real check (b) not a real check
  32. 32.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  34. 34.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  35. 35.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  36. 36.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  37. 37.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  38. 38.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  39. 39.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) spotting spam (d) drawing a new picture
  40. 40.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training

Answer key

  1. recorded spoken words
  2. its training data
  3. False
  4. a calculator
  5. no
  6. good for training
  7. False
  8. good for training
  9. reduces bias
  10. a normal program
  11. creating a cartoon
  12. one-sided data
  13. unlocking with a face
  14. one-sided data
  15. True
  16. face unlock on a phone
  17. does exactly as coded
  18. recognising
  19. music or sound
  20. False
  21. False
  22. bad for training
  23. False
  24. False
  25. it learns from examples
  26. add more of the same
  27. learns from examples
  28. drawing a new picture
  29. ignore complaints
  30. the learned patterns
  31. a real check
  32. text
  33. labelled fruit photos
  34. a myth
  35. sorts or predicts
  36. good for training
  37. False
  38. one-sided data
  39. spotting spam
  40. good for training

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