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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 133 · 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 not AI: a fan regulator? (a) uses AI (b) not AI
  2. 2.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  3. 3.📱 What is the AI doing here: a music app suggesting a song you may like? (a) predicting (b) recommending (c) generating (d) recognising
  4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a label error (c) a password (d) a prediction
  5. 5.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  6. 6.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  7. 7.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  8. 8.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  9. 9.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  11. 11.Which of these is a fact about AI? (a) long answers are true (b) AI answers need checking (c) AI has real feelings (d) AI always checks facts
  12. 12.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) balance the data (d) test on many groups
  13. 13.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  14. 14.True or false: “many varied examples” is good for training a model. (a) False (b) True
  15. 15.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) predicting (c) generating (d) recommending
  16. 16.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) print pages (d) clean screens
  17. 17.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
  18. 18.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
  20. 20.True or false: “the learned patterns” is the model. (a) True (b) False
  21. 21.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it is always right (c) it has a screen (d) it uses electricity
  22. 22.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) fix wrong labels (d) ignore complaints
  23. 23.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  24. 24.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) forget everything (d) better at its task
  25. 25.🔍 Which is the odd one out? (a) AI has real feelings (b) long answers are true (c) AI knows everything (d) AI can be wrong
  26. 26.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) an image (c) text
  27. 27.Which of these is a prediction? (a) the trained program (b) naming a new fruit photo (c) the learned patterns (d) 500 labelled leaf photos
  28. 28.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  29. 29.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI always checks facts (d) AI answers need checking
  30. 30.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
  31. 31.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) music or sound (c) an image
  32. 32.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
  33. 33.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  34. 34.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  35. 35.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  36. 36.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  37. 37.Which of these is a prediction? (a) past weather records (b) flagging a new email (c) the trained program (d) recorded spoken words
  38. 38.⏩ In machine learning, which comes first: recorded spoken words or flagging a new email? (a) recorded spoken words (b) flagging a new email
  39. 39.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI copies data patterns (c) AI answers need checking (d) long answers are true
  40. 40.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) test on many groups (d) test on one group only

Answer key

  1. not AI
  2. True
  3. recommending
  4. a prediction
  5. AI
  6. True
  7. True
  8. False
  9. False
  10. not spam
  11. AI answers need checking
  12. skip testing
  13. uses AI
  14. True
  15. predicting
  16. learn from data
  17. False
  18. the learned patterns
  19. not spam
  20. True
  21. it learns from examples
  22. ignore complaints
  23. True
  24. better at its task
  25. AI can be wrong
  26. text
  27. naming a new fruit photo
  28. training data
  29. AI answers need checking
  30. recommending
  31. text
  32. True
  33. a real check
  34. good for training
  35. good for training
  36. False
  37. flagging a new email
  38. recorded spoken words
  39. long answers are true
  40. test on many groups

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