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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 625 · 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.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) unlocking with a face (c) creating a cartoon (d) predicting rain
  2. 2.Which of these is the model? (a) old emails marked spam (b) the trained program (c) naming a new fruit photo (d) recorded spoken words
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  4. 4.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  5. 5.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) False (b) True
  6. 6.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  7. 7.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  8. 8.True or false: “labels added at random” is bad for training a model. (a) False (b) True
  9. 9.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  10. 10.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  11. 11.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  12. 12.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) gives a likely answer (d) one set rule per case
  13. 13.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  14. 14.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  15. 15.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  16. 16.Which of these is bad for training a model? (a) testing on training data (b) checking labels twice (c) photos in many lights (d) correct labels
  17. 17.Which of these is AI that sorts, spots or predicts (not generative)? (a) turning speech to text (b) creating a cartoon (c) drafting a letter (d) writing a new poem
  18. 18.⏩ In machine learning, which comes first: past weather records or naming a new leaf? (a) past weather records (b) naming a new leaf
  19. 19.Which of these describes how AI works? (a) follows fixed rules (b) does exactly as coded (c) handles unseen examples (d) one set rule per case
  20. 20.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  21. 21.True or false: spotting spam emails by their patterns only needs a simple fixed rule. (a) False (b) True
  22. 22.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  23. 23.True or false: “skip testing” adds to bias. (a) True (b) False
  24. 24.Which of these is good for training a model? (a) blurry, unclear photos (b) testing on training data (c) many varied examples (d) very few examples
  25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) creating a cartoon (c) reading number plates (d) drafting a letter
  26. 26.🏠 AI or not AI: voice typing? (a) uses AI (b) not AI
  27. 27.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
  28. 28.🔍 Which is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) confident means correct (d) AI can make up facts
  29. 29.Which of these adds to bias? (a) skip testing (b) test on many groups (c) check who is missing (d) fix wrong labels
  30. 30.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  31. 31.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
  32. 32.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
  33. 33.True or false: “labelled fruit photos” is training data. (a) False (b) True
  34. 34.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
  35. 35.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  36. 36.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a prompt (d) a password
  37. 37.🔍 Which is the odd one out? (a) creating a cartoon (b) spotting spam (c) reading number plates (d) suggesting a video
  38. 38.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  39. 39.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) True (b) False
  40. 40.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) predicting (c) recommending (d) recognising

Answer key

  1. creating a cartoon
  2. the trained program
  3. spam
  4. a real check
  5. False
  6. sorts or predicts
  7. a myth
  8. True
  9. a normal program
  10. bad for training
  11. one-sided data
  12. gives a likely answer
  13. reduces bias
  14. a prediction
  15. a simple rule is enough
  16. testing on training data
  17. turning speech to text
  18. past weather records
  19. handles unseen examples
  20. a fact
  21. False
  22. not AI
  23. True
  24. many varied examples
  25. reading number plates
  26. uses AI
  27. better at its task
  28. AI can make up facts
  29. skip testing
  30. needs AI (learning)
  31. a normal program
  32. True
  33. True
  34. text
  35. AI
  36. a prompt
  37. creating a cartoon
  38. a myth
  39. True
  40. predicting

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