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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 198 · 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 is good for training a model? (a) labels added at random (b) clear, sharp examples (c) very few examples (d) wrong labels
  2. 2.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
  3. 3.Which of these adds to bias? (a) fix wrong labels (b) ask different people (c) test on one group only (d) check who is missing
  4. 4.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
  5. 5.🛠️ Which does this job need: finding 10% of a price? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
  7. 7.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  8. 8.True or false: “checking labels twice” is good for training a model. (a) True (b) False
  9. 9.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) text (c) music or sound
  10. 10.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
  11. 11.🏷️ 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
  12. 12.Which of these is bad for training a model? (a) many varied examples (b) examples of every type (c) checking labels twice (d) only one kind of example
  13. 13.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) check who is missing (d) add more of the same
  14. 14.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  15. 15.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) it was a rainy day (d) children speak too fast
  16. 16.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) only at night (c) yes, it is smart (d) yes, it can think
  17. 17.🔍 Which is the odd one out? (a) AI knows everything (b) AI answers need checking (c) long answers are true (d) AI has real feelings
  18. 18.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  19. 19.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  20. 20.Which of these is training data? (a) recorded spoken words (b) naming a new leaf (c) flagging a new email (d) typing a new spoken word
  21. 21.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it has a screen (c) it is always right (d) it uses electricity
  22. 22.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  23. 23.🎨 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
  24. 24.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
  25. 25.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) photos in many lights (d) correct labels
  26. 26.🔍 Which is the odd one out? (a) wrong labels (b) copies of one photo (c) checking labels twice (d) blurry, unclear photos
  27. 27.True or false: “test on one group only” adds to bias. (a) True (b) False
  28. 28.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  29. 29.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  30. 30.True or false: “confident means correct” is a fact about AI. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) writing a new poem (b) predicting rain (c) making up a story (d) inventing a recipe
  32. 32.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
  33. 33.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
  34. 34.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) writing quiz questions (c) unlocking with a face (d) composing a new tune
  36. 36.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  37. 37.True or false: the message “Your account is locked, pay ₹99 now” should be labelled “not spam”. (a) True (b) False
  38. 38.✅ Is this a real check of an AI answer: redo the maths yourself? (a) a real check (b) not a real check
  39. 39.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  40. 40.Which of these is not AI? (a) an app translating signs (b) a digital watch (c) photos grouped by face (d) video suggestions

Answer key

  1. clear, sharp examples
  2. look in your textbook
  3. test on one group only
  4. True
  5. a simple rule is enough
  6. sorts or predicts
  7. False
  8. True
  9. text
  10. False
  11. spam
  12. only one kind of example
  13. add more of the same
  14. good for training
  15. few child voices in data
  16. no, it follows rules
  17. AI answers need checking
  18. not a real check
  19. True
  20. recorded spoken words
  21. it learns from examples
  22. adds to bias
  23. an image
  24. people
  25. wrong labels
  26. checking labels twice
  27. True
  28. sorts or predicts
  29. False
  30. False
  31. predicting rain
  32. True
  33. True
  34. AI
  35. unlocking with a face
  36. True
  37. False
  38. a real check
  39. a myth
  40. a digital watch

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