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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 98 · 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 is the odd one out? (a) inventing a recipe (b) spotting a sick leaf (c) making up a story (d) drawing a new picture
  2. 2.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  3. 3.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  4. 4.🏠 AI or not AI: a voice assistant? (a) not AI (b) uses AI
  5. 5.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  6. 6.Which of these describes how a normal program works? (a) makes a best guess (b) handles unseen examples (c) uses rules people wrote (d) gives a likely answer
  7. 7.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.🔁 Training data, the model or a prediction: “the learned patterns”? (a) a prediction (b) training data (c) the model
  9. 9.🔍 Which is the odd one out? (a) wrong labels (b) correct labels (c) checking labels twice (d) photos in many lights
  10. 10.Which of these uses AI? (a) a microwave timer (b) a stopwatch (c) an AI chatbot (d) a digital watch
  11. 11.🔍 Which is the odd one out? (a) sorting photos by face (b) predicting rain (c) spotting a sick leaf (d) inventing a recipe
  12. 12.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) text (b) an image (c) music or sound
  13. 13.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  14. 14.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  15. 15.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) the weather (d) a text description
  16. 16.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  17. 17.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) share it online (d) trust the textbook
  18. 18.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) True (b) False
  19. 19.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
  20. 20.🧠 Machine learning is a way for computers to… (a) print pages (b) charge faster (c) learn from data (d) clean screens
  21. 21.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  22. 22.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  23. 23.Which of these uses AI? (a) a stopwatch (b) a printed timetable (c) a fan regulator (d) a map predicting traffic
  24. 24.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  25. 25.🧐 Fact or myth: “AI knows everything”? (a) a myth (b) a fact
  26. 26.🔍 Which is the odd one out? (a) skip testing (b) balance the data (c) ask different people (d) add varied examples
  27. 27.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  28. 28.Which of these helps reduce bias? (a) test on one group only (b) copy old unfair choices (c) ask different people (d) add more of the same
  29. 29.Which of these is bad for training a model? (a) clear, sharp examples (b) new data for testing (c) wrong labels (d) many varied examples
  30. 30.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
  31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) spotting spam (c) inventing a recipe (d) writing a new poem
  32. 32.Which of these is not AI? (a) a stopwatch (b) an image generator (c) a map predicting traffic (d) an AI chatbot
  33. 33.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
  34. 34.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) tomorrow’s rain guess (d) the learned patterns
  35. 35.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  36. 36.Which of these adds to bias? (a) test on one group only (b) test on many groups (c) balance the data (d) fix wrong labels
  37. 37.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) reading number plates (c) suggesting a video (d) making up a story
  38. 38.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) predicting (c) recommending (d) recognising
  39. 39.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  40. 40.True or false: counting the words in an essay only needs a simple fixed rule. (a) False (b) True

Answer key

  1. spotting a sick leaf
  2. bad for training
  3. True
  4. uses AI
  5. balanced data
  6. uses rules people wrote
  7. a simple rule is enough
  8. the model
  9. wrong labels
  10. an AI chatbot
  11. inventing a recipe
  12. music or sound
  13. makes something new
  14. True
  15. a text description
  16. makes something new
  17. trust the textbook
  18. False
  19. better at its task
  20. learn from data
  21. False
  22. AI
  23. a map predicting traffic
  24. a simple rule is enough
  25. a myth
  26. skip testing
  27. a normal program
  28. ask different people
  29. wrong labels
  30. True
  31. spotting spam
  32. a stopwatch
  33. True
  34. 500 labelled leaf photos
  35. training data
  36. test on one group only
  37. making up a story
  38. recommending
  39. makes something new
  40. True

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