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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 410 · 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.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  2. 2.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  3. 3.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  4. 4.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing a new poem (b) spotting a sick leaf (c) inventing a recipe (d) drafting a letter
  6. 6.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  7. 7.True or false: the message “Share your OTP to get cashback” should be labelled “spam”. (a) False (b) True
  8. 8.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) does exactly as coded (d) handles unseen examples
  9. 9.Which of these is not AI? (a) a spam filter (b) photos grouped by face (c) a digital watch (d) a voice assistant
  10. 10.🔍 Which is the odd one out? (a) AI learns from data (b) AI can mix up numbers (c) AI has real feelings (d) AI can make up facts
  11. 11.True or false: a music app suggesting a song you may like is AI generating something new. (a) True (b) False
  12. 12.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  13. 13.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  14. 14.🔍 Which is the odd one out? (a) blurry, unclear photos (b) correct labels (c) very few examples (d) wrong labels
  15. 15.True or false: “typing a new spoken word” is the model. (a) True (b) False
  16. 16.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  17. 17.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a label error (c) a password (d) training data
  18. 18.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  19. 19.📚 Usually, more good examples make a model… (a) change colour (b) better at its task (c) forget everything (d) slower to switch on
  20. 20.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  21. 21.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  23. 23.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  24. 24.True or false: “naming a new leaf” is the model. (a) False (b) True
  25. 25.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a backup (c) a summary (d) a hallucination
  26. 26.True or false: “it uses big words” is NOT a real way to check an AI answer. (a) False (b) True
  27. 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) drawing a new picture (c) predicting rain (d) writing quiz questions
  28. 28.True or false: “check who is missing” adds to bias. (a) True (b) False
  29. 29.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  30. 30.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  31. 31.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) predicting rain (c) spotting spam (d) drawing a new picture
  32. 32.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  33. 33.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
  34. 34.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
  35. 35.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  36. 36.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  38. 38.🔍 Which is the odd one out? (a) photos in many lights (b) correct labels (c) testing on training data (d) new data for testing
  39. 39.🔍 Which is the odd one out? (a) ignore complaints (b) test on many groups (c) check who is missing (d) add varied examples
  40. 40.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False

Answer key

  1. a fact
  2. a real check
  3. a normal program
  4. it learns patterns
  5. spotting a sick leaf
  6. a fact
  7. True
  8. handles unseen examples
  9. a digital watch
  10. AI has real feelings
  11. False
  12. False
  13. reduces bias
  14. correct labels
  15. False
  16. True
  17. a prediction
  18. bad for training
  19. better at its task
  20. False
  21. not a real check
  22. spam
  23. False
  24. False
  25. a hallucination
  26. True
  27. predicting rain
  28. False
  29. True
  30. adds to bias
  31. drawing a new picture
  32. one-sided data
  33. not a real check
  34. True
  35. balanced data
  36. no
  37. not spam
  38. testing on training data
  39. ignore complaints
  40. False

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