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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 624 · 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 helps reduce bias? (a) copy old unfair choices (b) use one group only (c) check who is missing (d) test on one group only
  2. 2.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) flagging a new email (d) tomorrow’s rain guess
  3. 3.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
  4. 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) drafting a letter (c) creating a cartoon (d) spotting a sick leaf
  5. 5.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  6. 6.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  7. 7.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  8. 8.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) copies one website (d) asks a person
  9. 9.Which of these is not AI? (a) a microwave timer (b) an AI chatbot (c) voice typing (d) an image generator
  10. 10.🛠️ Which does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
  11. 11.🔍 Which is the odd one out? (a) writing quiz questions (b) turning speech to text (c) making up a story (d) drafting a letter
  12. 12.Which of these is the model? (a) the learned patterns (b) labelled fruit photos (c) past weather records (d) flagging a new email
  13. 13.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) drafting a letter (c) drawing a new picture (d) suggesting a video
  15. 15.🔍 Which is the odd one out? (a) long answers are true (b) AI is never wrong (c) AI learns from data (d) AI has real feelings
  16. 16.📦 What happens during training? (a) it charges up (b) it prints labels (c) it learns patterns (d) it takes photos
  17. 17.🔍 Which is the odd one out? (a) wrong labels (b) only one kind of example (c) examples of every type (d) labels added at random
  18. 18.Which of these describes how AI works? (a) spots patterns in data (b) same steps every time (c) never learns from data (d) does exactly as coded
  19. 19.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  20. 20.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) reading number plates (c) creating a cartoon (d) making up a story
  21. 21.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) copy old unfair choices (d) test on many groups
  22. 22.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  23. 23.🔍 Which is the odd one out? (a) photos grouped by face (b) an app translating signs (c) a stopwatch (d) an AI chatbot
  24. 24.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  25. 25.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
  26. 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  27. 27.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) use one group only (d) add varied examples
  28. 28.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  29. 29.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
  30. 30.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
  31. 31.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) inventing a recipe (c) predicting rain (d) drafting a letter
  32. 32.🔍 Which is the odd one out? (a) clear, sharp examples (b) blurry, unclear photos (c) photos in many lights (d) checking labels twice
  33. 33.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  34. 34.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) True (b) False
  35. 35.🔍 Which is the odd one out? (a) AI copies data patterns (b) confident means correct (c) AI has real feelings (d) long answers are true
  36. 36.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  37. 37.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
  38. 38.Which of these describes how AI works? (a) same steps every time (b) never learns from data (c) follows fixed rules (d) handles unseen examples
  39. 39.Which of these is training data? (a) naming a new fruit photo (b) what training builds (c) labelled fruit photos (d) the trained program
  40. 40.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training

Answer key

  1. check who is missing
  2. old emails marked spam
  3. True
  4. spotting a sick leaf
  5. a myth
  6. no
  7. needs AI (learning)
  8. predicts likely words
  9. a microwave timer
  10. needs AI (learning)
  11. turning speech to text
  12. the learned patterns
  13. a fact
  14. suggesting a video
  15. AI learns from data
  16. it learns patterns
  17. examples of every type
  18. spots patterns in data
  19. reduces bias
  20. reading number plates
  21. copy old unfair choices
  22. its training data
  23. a stopwatch
  24. uses AI
  25. False
  26. not spam
  27. use one group only
  28. sorts or predicts
  29. not AI
  30. False
  31. predicting rain
  32. blurry, unclear photos
  33. True
  34. True
  35. AI copies data patterns
  36. uses AI
  37. True
  38. handles unseen examples
  39. labelled fruit photos
  40. good for training

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