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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 947 · 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.🤔 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
  2. 2.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  3. 3.🔍 Which is the odd one out? (a) a microwave timer (b) an AI chatbot (c) a doorbell (d) a calculator
  4. 4.Which of these uses AI? (a) a microwave timer (b) a stopwatch (c) voice typing (d) a digital watch
  5. 5.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) an image (c) text
  6. 6.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  7. 7.🔍 Which is the odd one out? (a) voice typing (b) a map predicting traffic (c) a doorbell (d) photos grouped by face
  8. 8.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) more varied data (c) one group only (d) fewer tests
  9. 9.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) never do maths (d) check it on paper
  10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) composing a new tune (c) writing quiz questions (d) reading number plates
  11. 11.Which of these is training data? (a) naming a new leaf (b) labelled fruit photos (c) naming a new fruit photo (d) tomorrow’s rain guess
  12. 12.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
  13. 13.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  14. 14.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  15. 15.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) actual information (d) app installer
  16. 16.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  17. 17.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  19. 19.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  20. 20.True or false: “test on one group only” adds to bias. (a) False (b) True
  21. 21.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) recognising (c) generating (d) predicting
  22. 22.Which of these uses AI? (a) a map predicting traffic (b) a doorbell (c) a microwave timer (d) a printed timetable
  23. 23.Which of these describes how AI works? (a) same steps every time (b) follows fixed rules (c) makes a best guess (d) does exactly as coded
  24. 24.True or false: “learns from examples” describes how a normal program works. (a) False (b) True
  25. 25.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  26. 26.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
  27. 27.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  29. 29.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) spotting spam (c) writing quiz questions (d) unlocking with a face
  30. 30.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
  31. 31.Which of these is training data? (a) tomorrow’s rain guess (b) past weather records (c) the learned patterns (d) naming a new leaf
  32. 32.Which of these helps reduce bias? (a) fix wrong labels (b) ignore complaints (c) test on one group only (d) skip testing
  33. 33.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  34. 34.True or false: “testing on training data” is bad for training a model. (a) False (b) True
  35. 35.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
  36. 36.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  37. 37.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  38. 38.Which of these is good for training a model? (a) labels added at random (b) blurry, unclear photos (c) new data for testing (d) testing on training data
  39. 39.Which of these is good for training a model? (a) labels added at random (b) wrong labels (c) very few examples (d) clear, sharp examples
  40. 40.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) reading number plates (d) writing a new poem

Answer key

  1. no, check it anyway
  2. not AI
  3. an AI chatbot
  4. voice typing
  5. text
  6. adds to bias
  7. a doorbell
  8. more varied data
  9. check it on paper
  10. reading number plates
  11. labelled fruit photos
  12. a prediction
  13. True
  14. False
  15. artificial intelligence
  16. False
  17. AI
  18. a normal program
  19. makes something new
  20. True
  21. recognising
  22. a map predicting traffic
  23. makes a best guess
  24. False
  25. bad for training
  26. True
  27. True
  28. False
  29. writing quiz questions
  30. to see if it works
  31. past weather records
  32. fix wrong labels
  33. makes something new
  34. True
  35. True
  36. AI
  37. not AI
  38. new data for testing
  39. clear, sharp examples
  40. writing a new poem

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