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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 824 · 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: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  2. 2.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
  3. 3.True or false: “old emails marked spam” is training data. (a) True (b) False
  4. 4.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
  5. 5.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  6. 6.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) a map predicting traffic (b) a kitchen weighing scale (c) a fan regulator (d) a doorbell
  8. 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  9. 9.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) copies one website (d) asks a person
  10. 10.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  11. 11.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  12. 12.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) look in your textbook (d) ask it to repeat
  13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing quiz questions (c) turning speech to text (d) drawing a new picture
  14. 14.🛠️ What helps make an AI system fairer? (a) one group only (b) fewer tests (c) ignoring mistakes (d) more varied data
  15. 15.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  16. 16.True or false: “the learned patterns” is a prediction. (a) True (b) False
  17. 17.Which of these is bad for training a model? (a) correct labels (b) testing on training data (c) new data for testing (d) clear, sharp examples
  18. 18.True or false: “never learns from data” describes how AI works. (a) False (b) True
  19. 19.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
  20. 20.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  21. 21.🔍 Which is the odd one out? (a) correct labels (b) new data for testing (c) many varied examples (d) labels added at random
  22. 22.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) no, it finds patterns (d) only on weekends
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  24. 24.True or false: “spots patterns in data” describes how a normal program works. (a) False (b) True
  25. 25.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  26. 26.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it charges up (d) it prints labels
  27. 27.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
  28. 28.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  29. 29.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) AI can make up facts (b) AI always checks facts (c) AI can be wrong (d) AI learns from data
  31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  32. 32.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) predicting rain (c) drawing a new picture (d) making up a story
  33. 33.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  34. 34.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  35. 35.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  36. 36.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  37. 37.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  38. 38.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
  39. 39.True or false: “learns from examples” describes how AI works. (a) False (b) True
  40. 40.Which of these is a myth about AI? (a) AI answers need checking (b) AI learns from data (c) AI can make up facts (d) AI always checks facts

Answer key

  1. training data
  2. True
  3. True
  4. False
  5. True
  6. False
  7. a map predicting traffic
  8. False
  9. predicts likely words
  10. False
  11. True
  12. look in your textbook
  13. turning speech to text
  14. more varied data
  15. False
  16. False
  17. testing on training data
  18. False
  19. False
  20. False
  21. labels added at random
  22. no, it finds patterns
  23. training data
  24. False
  25. False
  26. it learns patterns
  27. False
  28. no
  29. True
  30. AI always checks facts
  31. spam
  32. predicting rain
  33. True
  34. sorts or predicts
  35. the learned patterns
  36. a real check
  37. the learned patterns
  38. True
  39. True
  40. AI always checks facts

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