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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 901 · 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: “AI learns from data” is a myth about AI. (a) False (b) True
  2. 2.True or false: “long answers are true” is a myth about AI. (a) True (b) False
  3. 3.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  4. 4.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) an image (c) music or sound
  5. 5.True or false: “many varied examples” is good for training a model. (a) True (b) False
  6. 6.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  7. 7.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  8. 8.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recognising (c) predicting (d) recommending
  9. 9.🔍 Which is the odd one out? (a) an image generator (b) a spam filter (c) a voice assistant (d) a stopwatch
  10. 10.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  11. 11.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) drafting a letter (c) unlocking with a face (d) spotting spam
  12. 12.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  13. 13.Which of these adds to bias? (a) skip testing (b) ask different people (c) fix wrong labels (d) test on many groups
  14. 14.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock
  15. 15.Which of these is a myth about AI? (a) AI has real feelings (b) AI can be wrong (c) AI answers need checking (d) AI learns from data
  16. 16.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) asks a person (d) uses magic
  17. 17.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  18. 18.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  19. 19.🎨 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
  20. 20.Which of these is a prediction? (a) 500 labelled leaf photos (b) past weather records (c) recorded spoken words (d) naming a new leaf
  21. 21.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) model, prediction, data (d) prediction, data, model
  22. 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) creating a cartoon (c) writing quiz questions (d) sorting photos by face
  23. 23.Which of these is good for training a model? (a) wrong labels (b) labels added at random (c) copies of one photo (d) checking labels twice
  24. 24.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI can mix up numbers (d) AI has real feelings
  25. 25.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  26. 26.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  27. 27.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  28. 28.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) True (b) False
  29. 29.🤖 What does AI stand for? (a) artificial intelligence (b) automatic internet (c) app installer (d) actual information
  30. 30.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  31. 31.Which of these is not AI? (a) a fan regulator (b) an AI chatbot (c) a map predicting traffic (d) an app translating signs
  32. 32.Which of these is a myth about AI? (a) confident means correct (b) AI can mix up numbers (c) AI can be wrong (d) AI answers need checking
  33. 33.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
  34. 34.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  35. 35.True or false: “past weather records” is the model. (a) True (b) False
  36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  37. 37.True or false: “use one group only” helps reduce bias. (a) True (b) False
  38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  39. 39.True or false: “naming a new fruit photo” is training data. (a) False (b) True
  40. 40.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts

Answer key

  1. False
  2. True
  3. a normal program
  4. an image
  5. True
  6. False
  7. False
  8. recognising
  9. a stopwatch
  10. balanced data
  11. drafting a letter
  12. needs AI (learning)
  13. skip testing
  14. a basic calculator
  15. AI has real feelings
  16. predicts likely words
  17. the model
  18. makes something new
  19. text
  20. naming a new leaf
  21. data, model, prediction
  22. sorting photos by face
  23. checking labels twice
  24. AI has real feelings
  25. uses AI
  26. True
  27. good for training
  28. False
  29. artificial intelligence
  30. reduces bias
  31. a fan regulator
  32. confident means correct
  33. True
  34. AI
  35. False
  36. a prediction
  37. False
  38. not spam
  39. False
  40. makes something new

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