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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 377 · 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 does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
  2. 2.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
  3. 3.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  4. 4.Which of these is not AI? (a) a voice assistant (b) video suggestions (c) a fan regulator (d) an AI chatbot
  5. 5.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
  6. 6.Which of these uses AI? (a) an image generator (b) a microwave timer (c) a doorbell (d) a torch
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  8. 8.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  9. 9.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
  10. 10.True or false: “flagging a new email” is the model. (a) False (b) True
  11. 11.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  12. 12.True or false: “AI can make up facts” is a myth about AI. (a) True (b) False
  13. 13.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  14. 14.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  16. 16.🎨 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
  17. 17.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  18. 18.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  19. 19.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
  20. 20.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  21. 21.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  22. 22.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  23. 23.Which of these describes how a normal program works? (a) makes a best guess (b) follows fixed rules (c) learns from examples (d) handles unseen examples
  24. 24.True or false: “one set rule per case” describes how AI works. (a) True (b) False
  25. 25.Which of these uses AI? (a) a microwave timer (b) face unlock on a phone (c) a kitchen weighing scale (d) a stopwatch
  26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) spotting a sick leaf (c) drawing a new picture (d) making up a story
  27. 27.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  28. 28.True or false: “old emails marked spam” is the model. (a) False (b) True
  29. 29.True or false: an AI chatbot writing a story about a lost kite is AI recognising something. (a) False (b) True
  30. 30.🔍 Which is the odd one out? (a) copy old unfair choices (b) use one group only (c) balance the data (d) skip testing
  31. 31.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  32. 32.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
  33. 33.📚 Good or bad for training a model: copies of one photo? (a) bad for training (b) good for training
  34. 34.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  35. 35.Which of these is training data? (a) past weather records (b) typing a new spoken word (c) the learned patterns (d) what training builds
  36. 36.🎨 An image generator makes a picture from… (a) your password (b) the weather (c) a phone number (d) a text description
  37. 37.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) the model (c) training data
  38. 38.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
  39. 39.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  40. 40.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests

Answer key

  1. needs AI (learning)
  2. people
  3. False
  4. a fan regulator
  5. predicting
  6. an image generator
  7. the model
  8. False
  9. to see if it works
  10. False
  11. True
  12. False
  13. a fact
  14. no, it can be wrong
  15. not spam
  16. music or sound
  17. not AI
  18. a fact
  19. it learns patterns
  20. makes something new
  21. bad for training
  22. False
  23. follows fixed rules
  24. False
  25. face unlock on a phone
  26. spotting a sick leaf
  27. a basic calculator
  28. False
  29. False
  30. balance the data
  31. AI
  32. True
  33. bad for training
  34. True
  35. past weather records
  36. a text description
  37. a prediction
  38. a prompt
  39. adds to bias
  40. more varied data

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