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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 418 · 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.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  2. 2.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) wrong labels (d) photos in many lights
  3. 3.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  4. 4.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  5. 5.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
  6. 6.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) spots patterns in data (d) one set rule per case
  7. 7.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  8. 8.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI
  9. 9.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  10. 10.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it learns from examples (d) it uses electricity
  11. 11.True or false: a car camera reading a speed sign is AI recommending something. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) only one kind of example (b) photos in many lights (c) blurry, unclear photos (d) testing on training data
  13. 13.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
  14. 14.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
  15. 15.Which of these is bad for training a model? (a) clear, sharp examples (b) examples of every type (c) testing on training data (d) photos in many lights
  16. 16.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) one set rule per case (d) gives a likely answer
  17. 17.🔍 Which is the odd one out? (a) a torch (b) a fan regulator (c) a printed timetable (d) photos grouped by face
  18. 18.🔍 Which is the odd one out? (a) predicting rain (b) composing a new tune (c) turning speech to text (d) spotting a sick leaf
  19. 19.True or false: “the learned patterns” is the model. (a) True (b) False
  20. 20.True or false: “test on one group only” helps reduce bias. (a) False (b) True
  21. 21.Which of these uses AI? (a) a fan regulator (b) a calculator (c) a kitchen weighing scale (d) a voice assistant
  22. 22.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  23. 23.True or false: “blurry, unclear photos” is good for training a model. (a) False (b) True
  24. 24.🔍 Which is the odd one out? (a) ask different people (b) fix wrong labels (c) balance the data (d) use one group only
  25. 25.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  26. 26.📦 What happens during training? (a) it prints labels (b) it learns patterns (c) it takes photos (d) it charges up
  27. 27.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) model, prediction, data (d) data, model, prediction
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) add more of the same (c) check who is missing (d) test on many groups
  29. 29.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  30. 30.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) True (b) False
  31. 31.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  32. 32.🔍 Which is the odd one out? (a) AI knows everything (b) long answers are true (c) AI can mix up numbers (d) confident means correct
  33. 33.🔍 Which is the odd one out? (a) clear, sharp examples (b) many varied examples (c) copies of one photo (d) correct labels
  34. 34.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  35. 35.True or false: “past weather records” is training data. (a) True (b) False
  36. 36.Which of these helps reduce bias? (a) skip testing (b) balance the data (c) use one group only (d) ignore complaints
  37. 37.Which of these describes how a normal program works? (a) one set rule per case (b) spots patterns in data (c) learns from examples (d) gives a likely answer
  38. 38.✨ Generative or not: unlocking with a face? (a) sorts or predicts (b) makes something new
  39. 39.🔍 Which is the odd one out? (a) a stopwatch (b) an image generator (c) a digital watch (d) a light switch
  40. 40.True or false: “confident means correct” is a fact about AI. (a) False (b) True

Answer key

  1. a real check
  2. wrong labels
  3. True
  4. the learned patterns
  5. a simple rule is enough
  6. spots patterns in data
  7. AI
  8. not AI
  9. bad for training
  10. it learns from examples
  11. False
  12. photos in many lights
  13. True
  14. a basic calculator
  15. testing on training data
  16. gives a likely answer
  17. photos grouped by face
  18. composing a new tune
  19. True
  20. False
  21. a voice assistant
  22. training data
  23. False
  24. use one group only
  25. not AI
  26. it learns patterns
  27. data, model, prediction
  28. add more of the same
  29. not a real check
  30. True
  31. a normal program
  32. AI can mix up numbers
  33. copies of one photo
  34. True
  35. True
  36. balance the data
  37. one set rule per case
  38. sorts or predicts
  39. an image generator
  40. False

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