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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 644 · 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.📚 Usually, more good examples make a model… (a) slower to switch on (b) better at its task (c) change colour (d) forget everything
  2. 2.✅ Is this a real check of an AI answer: it uses big words? (a) not a real check (b) a real check
  3. 3.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  4. 4.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  5. 5.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) add varied examples (d) fix wrong labels
  6. 6.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) True (b) False
  7. 7.True or false: “long answers are true” is a myth about AI. (a) False (b) True
  8. 8.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
  9. 9.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  10. 10.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  11. 11.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  12. 12.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  13. 13.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  14. 14.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  15. 15.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  16. 16.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  17. 17.Which of these adds to bias? (a) test on many groups (b) ask different people (c) test on one group only (d) add varied examples
  18. 18.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  19. 19.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  20. 20.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a summary (c) a hallucination (d) a password
  21. 21.Which of these is good for training a model? (a) correct labels (b) blurry, unclear photos (c) labels added at random (d) very few examples
  22. 22.✨ Generative or not: writing a new poem? (a) sorts or predicts (b) makes something new
  23. 23.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  24. 24.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  26. 26.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  27. 27.🛠️ Which does this job need: counting the words in an essay? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.Which of these is a fact about AI? (a) confident means correct (b) AI knows everything (c) AI can be wrong (d) AI has real feelings
  29. 29.True or false: “write a poem about the monsoon” asks for music or sound. (a) False (b) True
  30. 30.True or false: “typing a new spoken word” is training data. (a) True (b) False
  31. 31.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
  32. 32.Which of these uses AI? (a) photos grouped by face (b) a doorbell (c) a light switch (d) a printed timetable
  33. 33.Which of these is good for training a model? (a) only one kind of example (b) copies of one photo (c) very few examples (d) photos in many lights
  34. 34.True or false: “never learns from data” describes how AI works. (a) True (b) False
  35. 35.True or false: an AI tool making a brand-new tune is AI recognising something. (a) True (b) False
  36. 36.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) one set rule per case (d) improves with more data
  37. 37.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) learns from examples (d) uses rules people wrote
  38. 38.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  39. 39.True or false: “labelled fruit photos” is a prediction. (a) False (b) True
  40. 40.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) inventing a recipe (c) predicting rain (d) sorting photos by face

Answer key

  1. better at its task
  2. not a real check
  3. a real check
  4. bad for training
  5. use one group only
  6. False
  7. True
  8. sorts or predicts
  9. a myth
  10. the model
  11. reduces bias
  12. spam
  13. data, model, prediction
  14. a fact
  15. False
  16. balanced data
  17. test on one group only
  18. makes something new
  19. it learns patterns
  20. a hallucination
  21. correct labels
  22. makes something new
  23. a myth
  24. no, check it anyway
  25. few child voices in data
  26. a myth
  27. a simple rule is enough
  28. AI can be wrong
  29. False
  30. False
  31. an image
  32. photos grouped by face
  33. photos in many lights
  34. False
  35. False
  36. improves with more data
  37. learns from examples
  38. uses AI
  39. False
  40. inventing a recipe

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