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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 75 · 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) forget everything (b) slower to switch on (c) better at its task (d) change colour
  2. 2.Which of these is a prediction? (a) typing a new spoken word (b) the learned patterns (c) recorded spoken words (d) old emails marked spam
  3. 3.True or false: “a logo idea for the eco club” asks for an image. (a) True (b) False
  4. 4.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  5. 5.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, prediction, model (d) data, model, prediction
  6. 6.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False
  7. 7.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  8. 8.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  9. 9.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) music or sound (b) an image (c) text
  10. 10.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) False (b) True
  11. 11.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  12. 12.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) only stores files (d) charges batteries
  13. 13.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  14. 14.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) True (b) False
  15. 15.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) cooking (d) recommending
  16. 16.Which of these is a myth about AI? (a) AI copies data patterns (b) AI learns from data (c) AI can mix up numbers (d) confident means correct
  17. 17.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  18. 18.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
  19. 19.Which of these is not AI? (a) video suggestions (b) voice typing (c) an image generator (d) a torch
  20. 20.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
  21. 21.✅ Is this a real check of an AI answer: find a trusted source? (a) a real check (b) not a real check
  22. 22.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) no, check it anyway (c) yes, always
  23. 23.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) checking labels twice (d) blurry, unclear photos
  24. 24.🔍 Which is the odd one out? (a) clear, sharp examples (b) photos in many lights (c) checking labels twice (d) blurry, unclear photos
  25. 25.Which of these is not AI? (a) video suggestions (b) voice typing (c) a stopwatch (d) an image generator
  26. 26.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  27. 27.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  28. 28.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  29. 29.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
  30. 30.Which of these is good for training a model? (a) examples of every type (b) labels added at random (c) wrong labels (d) very few examples
  31. 31.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
  32. 32.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) bias from data (d) a fair model
  33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  34. 34.Which of these is good for training a model? (a) labels added at random (b) new data for testing (c) copies of one photo (d) testing on training data
  35. 35.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  36. 36.True or false: “what training builds” is the model. (a) False (b) True
  37. 37.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  38. 38.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) an image (c) text
  39. 39.True or false: “tomorrow’s rain guess” is the model. (a) True (b) False
  40. 40.Which of these is training data? (a) the learned patterns (b) past weather records (c) naming a new leaf (d) tomorrow’s rain guess

Answer key

  1. better at its task
  2. typing a new spoken word
  3. True
  4. no, it can be wrong
  5. data, model, prediction
  6. False
  7. False
  8. not AI
  9. music or sound
  10. True
  11. not spam
  12. makes new content
  13. balanced data
  14. False
  15. recommending
  16. confident means correct
  17. adds to bias
  18. False
  19. a torch
  20. recorded spoken words
  21. a real check
  22. no, check it anyway
  23. blurry, unclear photos
  24. blurry, unclear photos
  25. a stopwatch
  26. True
  27. AI
  28. False
  29. True
  30. examples of every type
  31. not AI
  32. bias from data
  33. a prediction
  34. new data for testing
  35. False
  36. True
  37. True
  38. an image
  39. False
  40. past weather records

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