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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 479 · 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.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  2. 2.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  3. 3.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  4. 4.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
  5. 5.True or false: “AI always checks facts” is a fact about AI. (a) False (b) True
  6. 6.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  7. 7.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  8. 8.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
  9. 9.True or false: “wrong labels” is bad for training a model. (a) False (b) True
  10. 10.Which of these is not AI? (a) a voice assistant (b) a doorbell (c) a spam filter (d) an image generator
  11. 11.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  12. 12.Which of these is a prediction? (a) typing a new spoken word (b) labelled fruit photos (c) the learned patterns (d) the trained program
  13. 13.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  14. 14.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) testing on training data (d) new data for testing
  15. 15.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) music or sound (c) text
  16. 16.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI can make up facts (d) confident means correct
  17. 17.True or false: “flagging a new email” is training data. (a) True (b) False
  18. 18.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) improves with more data
  19. 19.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  20. 20.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) music or sound (c) text
  21. 21.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) cooking (c) charging (d) printing
  22. 22.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
  23. 23.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  24. 24.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  25. 25.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) people (d) nobody at all
  26. 26.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) the model (c) training data
  27. 27.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  28. 28.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “spam”. (a) True (b) False
  29. 29.Which of these is bad for training a model? (a) testing on training data (b) photos in many lights (c) new data for testing (d) correct labels
  30. 30.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  31. 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) training data (c) a label error (d) a prediction
  32. 32.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
  33. 33.True or false: “labels added at random” is bad for training a model. (a) True (b) False
  34. 34.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
  35. 35.🛠️ Does this reduce bias or add to it: test on one group only? (a) adds to bias (b) reduces bias
  36. 36.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  37. 37.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
  38. 38.Which of these describes how a normal program works? (a) improves with more data (b) never learns from data (c) makes a best guess (d) spots patterns in data
  39. 39.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  40. 40.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True

Answer key

  1. a prediction
  2. uses AI
  3. bad for training
  4. True
  5. False
  6. training data
  7. needs AI (learning)
  8. better at its task
  9. True
  10. a doorbell
  11. few child voices in data
  12. typing a new spoken word
  13. a simple rule is enough
  14. testing on training data
  15. music or sound
  16. confident means correct
  17. False
  18. uses rules people wrote
  19. adds to bias
  20. music or sound
  21. recommending
  22. makes new content
  23. False
  24. sorts or predicts
  25. people
  26. the model
  27. a normal program
  28. False
  29. testing on training data
  30. False
  31. a prediction
  32. it learns patterns
  33. True
  34. True
  35. adds to bias
  36. no, it can be wrong
  37. False
  38. never learns from data
  39. False
  40. False

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