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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 927 · 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.True or false: “past weather records” is a prediction. (a) True (b) False
  2. 2.True or false: “check who is missing” adds to bias. (a) False (b) True
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
  4. 4.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) one set rule per case (d) spots patterns in data
  5. 5.📚 Usually, more good examples make a model… (a) forget everything (b) better at its task (c) slower to switch on (d) change colour
  6. 6.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) only at night (d) no, it follows rules
  7. 7.✨ Is everything a generative AI makes true? (a) only on Mondays (b) no, it can be wrong (c) yes, always
  8. 8.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI can mix up numbers (c) AI always checks facts (d) AI can make up facts
  10. 10.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  11. 11.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  12. 12.Which of these describes how AI works? (a) makes a best guess (b) does exactly as coded (c) uses rules people wrote (d) same steps every time
  13. 13.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
  14. 14.🔍 Which is the odd one out? (a) clear, sharp examples (b) only one kind of example (c) wrong labels (d) labels added at random
  15. 15.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI can make up facts (c) AI copies data patterns (d) confident means correct
  16. 16.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) generating (c) recognising (d) predicting
  17. 17.True or false: “correct labels” is bad for training a model. (a) True (b) False
  18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  19. 19.🛠️ Which does this job need: recognising a friend’s face in photos? (a) needs AI (learning) (b) a simple rule is enough
  20. 20.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  21. 21.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
  22. 22.🔍 Which is the odd one out? (a) composing a new tune (b) writing a new poem (c) predicting rain (d) writing quiz questions
  23. 23.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  24. 24.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  25. 25.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, always (c) yes, if it is long
  26. 26.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) printing (d) recommending
  27. 27.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
  28. 28.📦 What happens during training? (a) it takes photos (b) it charges up (c) it prints labels (d) it learns patterns
  29. 29.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  30. 30.🔍 Which is the odd one out? (a) confident means correct (b) AI can be wrong (c) AI can mix up numbers (d) AI learns from data
  31. 31.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  32. 32.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  33. 33.True or false: “improves with more data” describes how AI works. (a) False (b) True
  34. 34.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) False (b) True
  35. 35.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
  36. 36.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  37. 37.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
  39. 39.Which of these uses AI? (a) a printed timetable (b) a digital watch (c) a fan regulator (d) voice typing
  40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model

Answer key

  1. False
  2. False
  3. a prediction
  4. one set rule per case
  5. better at its task
  6. no, it follows rules
  7. no, it can be wrong
  8. True
  9. AI always checks facts
  10. a fact
  11. True
  12. makes a best guess
  13. False
  14. clear, sharp examples
  15. confident means correct
  16. recognising
  17. False
  18. a normal program
  19. needs AI (learning)
  20. the trained program
  21. not AI
  22. predicting rain
  23. training data
  24. a simple rule is enough
  25. no, check it anyway
  26. recommending
  27. predicting
  28. it learns patterns
  29. a normal program
  30. confident means correct
  31. True
  32. labelled fruit photos
  33. True
  34. False
  35. a fact
  36. the model
  37. True
  38. spam
  39. voice typing
  40. a prediction

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