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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 731 · 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.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  2. 2.True or false: “five quiz questions on fractions” asks for an image. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) photos grouped by face (b) a voice assistant (c) a printed timetable (d) an AI chatbot
  4. 4.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) follows fixed rules (d) gives a likely answer
  5. 5.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
  6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  7. 7.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) photos in many lights (d) wrong labels
  8. 8.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
  9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  10. 10.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  11. 11.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  12. 12.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
  13. 13.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) use one group only (d) check who is missing
  14. 14.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  15. 15.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) text (c) an image
  16. 16.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  17. 17.True or false: “check who is missing” adds to bias. (a) True (b) False
  18. 18.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  19. 19.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
  20. 20.True or false: “never learns from data” describes how AI works. (a) True (b) False
  21. 21.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  22. 22.🔍 Which is the odd one out? (a) a fan regulator (b) a spam filter (c) a torch (d) a doorbell
  23. 23.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  24. 24.✨ What does generative AI do? (a) charges batteries (b) makes new content (c) only adds numbers (d) only stores files
  25. 25.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  26. 26.📚 An AI chatbot names a book that does not exist. This is called… (a) a summary (b) a password (c) a backup (d) a hallucination
  27. 27.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  29. 29.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  30. 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  31. 31.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  32. 32.🏠 AI or not AI: a printed timetable? (a) not AI (b) uses AI
  33. 33.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) labels added at random (d) new data for testing
  34. 34.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) sorting photos by face (c) drawing a new picture (d) writing a new poem
  36. 36.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) ask different people
  37. 37.True or false: “old emails marked spam” is the model. (a) True (b) False
  38. 38.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) wrong labels (d) only one kind of example
  39. 39.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  40. 40.🔍 Which is the odd one out? (a) spotting spam (b) unlocking with a face (c) predicting rain (d) inventing a recipe

Answer key

  1. AI
  2. False
  3. a printed timetable
  4. gives a likely answer
  5. it may get it wrong
  6. reduces bias
  7. wrong labels
  8. learn from data
  9. one-sided data
  10. True
  11. a fact
  12. uses AI
  13. check who is missing
  14. a normal program
  15. an image
  16. True
  17. False
  18. the model
  19. a fact
  20. False
  21. a real check
  22. a spam filter
  23. AI
  24. makes new content
  25. balanced data
  26. a hallucination
  27. True
  28. good for training
  29. False
  30. spam
  31. a simple rule is enough
  32. not AI
  33. new data for testing
  34. music or sound
  35. sorting photos by face
  36. test on one group only
  37. False
  38. photos in many lights
  39. bad for training
  40. inventing a recipe

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