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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 566 · 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 does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  2. 2.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  3. 3.Which of these adds to bias? (a) add varied examples (b) test on many groups (c) balance the data (d) use one group only
  4. 4.True or false: “never learns from data” describes how AI works. (a) False (b) True
  5. 5.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) music or sound (b) an image (c) text
  6. 6.🔮 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
  7. 7.Which of these uses AI? (a) a fan regulator (b) photos grouped by face (c) a light switch (d) a microwave timer
  8. 8.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) new data for testing (d) blurry, unclear photos
  9. 9.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  10. 10.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  11. 11.True or false: “only one kind of example” is good for training a model. (a) False (b) True
  12. 12.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  13. 13.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  14. 14.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  15. 15.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  16. 16.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) handles unseen examples (d) uses rules people wrote
  17. 17.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  18. 18.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) music or sound (b) an image (c) text
  19. 19.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  20. 20.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a kitchen weighing scale (d) voice typing
  21. 21.Which of these uses AI? (a) a doorbell (b) a light switch (c) an image generator (d) a microwave timer
  22. 22.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  23. 23.Which of these adds to bias? (a) ask different people (b) add varied examples (c) skip testing (d) balance the data
  24. 24.⏩ In machine learning, which comes first: typing a new spoken word or past weather records? (a) typing a new spoken word (b) past weather records
  25. 25.🔍 Which is the odd one out? (a) AI is never wrong (b) AI learns from data (c) confident means correct (d) AI always checks facts
  26. 26.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) writing a new poem (c) suggesting a video (d) unlocking with a face
  27. 27.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
  28. 28.Which of these describes how AI works? (a) handles unseen examples (b) never learns from data (c) one set rule per case (d) same steps every time
  29. 29.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) recorded spoken words (d) tomorrow’s rain guess
  30. 30.Which of these describes how a normal program works? (a) handles unseen examples (b) gives a likely answer (c) spots patterns in data (d) one set rule per case
  31. 31.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  32. 32.🔁 What is the right order? (a) data, model, prediction (b) data, prediction, model (c) model, prediction, data (d) prediction, data, model
  33. 33.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  34. 34.🔍 Which is the odd one out? (a) a spam filter (b) an image generator (c) photos grouped by face (d) a digital watch
  35. 35.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) creating a cartoon (c) drafting a letter (d) reading number plates
  36. 36.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  37. 37.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
  38. 38.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  39. 39.True or false: showing the time on a clock only needs a simple fixed rule. (a) True (b) False
  40. 40.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check

Answer key

  1. needs AI (learning)
  2. training data
  3. use one group only
  4. False
  5. an image
  6. a prediction
  7. photos grouped by face
  8. new data for testing
  9. False
  10. reduces bias
  11. False
  12. a normal program
  13. False
  14. a myth
  15. AI
  16. uses rules people wrote
  17. reduces bias
  18. text
  19. a normal program
  20. voice typing
  21. an image generator
  22. one-sided data
  23. skip testing
  24. past weather records
  25. AI learns from data
  26. writing a new poem
  27. True
  28. handles unseen examples
  29. tomorrow’s rain guess
  30. one set rule per case
  31. True
  32. data, model, prediction
  33. sorts or predicts
  34. a digital watch
  35. reading number plates
  36. people
  37. labelled fruit photos
  38. False
  39. True
  40. not a real check

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