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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 845 · 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 of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) follows fixed rules (d) handles unseen examples
  2. 2.True or false: “match it to the textbook” is a real way to check an AI answer. (a) True (b) False
  3. 3.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  4. 4.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  5. 5.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only stores files (d) only adds numbers
  6. 6.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) charging (c) recommending (d) cooking
  7. 7.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  8. 8.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  9. 9.Which of these is training data? (a) typing a new spoken word (b) tomorrow’s rain guess (c) the trained program (d) labelled fruit photos
  10. 10.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  11. 11.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  12. 12.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  13. 13.🏷️ 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
  14. 14.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  15. 15.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  16. 16.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  17. 17.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) photos in many lights (d) many varied examples
  18. 18.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) text (b) music or sound (c) an image
  19. 19.🔍 Which is the odd one out? (a) a stopwatch (b) a light switch (c) a calculator (d) face unlock on a phone
  20. 20.🏠 AI or not AI: an image generator? (a) uses AI (b) not AI
  21. 21.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  22. 22.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) model, prediction, data (d) data, prediction, model
  23. 23.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
  24. 24.True or false: “what training builds” is a prediction. (a) True (b) False
  25. 25.Which of these adds to bias? (a) use one group only (b) balance the data (c) check who is missing (d) fix wrong labels
  26. 26.True or false: “a cheerful tune for Sports Day” asks for text. (a) False (b) True
  27. 27.Which of these helps reduce bias? (a) copy old unfair choices (b) use one group only (c) ignore complaints (d) fix wrong labels
  28. 28.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  29. 29.⏩ In machine learning, which comes first: old emails marked spam or what training builds? (a) old emails marked spam (b) what training builds
  30. 30.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) generating (d) predicting
  31. 31.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
  32. 32.Which of these is a fact about AI? (a) AI can mix up numbers (b) AI knows everything (c) AI always checks facts (d) AI is never wrong
  33. 33.🛠️ Does this reduce bias or add to it: skip testing? (a) adds to bias (b) reduces bias
  34. 34.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) it was a rainy day (c) few child voices in data (d) children speak too fast
  35. 35.True or false: “gives a likely answer” describes how a normal program works. (a) False (b) True
  36. 36.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
  37. 37.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) generating (b) recognising (c) predicting (d) recommending
  38. 38.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) a prediction (c) training data
  39. 39.True or false: “labelled fruit photos” is a prediction. (a) True (b) False
  40. 40.True or false: “naming a new leaf” is the model. (a) False (b) True

Answer key

  1. handles unseen examples
  2. True
  3. not spam
  4. more varied data
  5. makes new content
  6. recommending
  7. False
  8. not AI
  9. labelled fruit photos
  10. AI
  11. one-sided data
  12. False
  13. spam
  14. a fact
  15. False
  16. a real check
  17. very few examples
  18. an image
  19. face unlock on a phone
  20. uses AI
  21. True
  22. data, model, prediction
  23. True
  24. False
  25. use one group only
  26. False
  27. fix wrong labels
  28. good for training
  29. old emails marked spam
  30. predicting
  31. False
  32. AI can mix up numbers
  33. adds to bias
  34. few child voices in data
  35. False
  36. True
  37. generating
  38. a prediction
  39. False
  40. False

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