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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 720 · 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.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  2. 2.⏩ In machine learning, which comes first: the learned patterns or recorded spoken words? (a) the learned patterns (b) recorded spoken words
  3. 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) trust the textbook (d) stop studying
  4. 4.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
  5. 5.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) a map predicting traffic (b) a doorbell (c) an image generator (d) a spam filter
  7. 7.🤖 Who builds and trains AI systems? (a) the Moon (b) people (c) nobody at all (d) the weather
  8. 8.🔍 Which is the odd one out? (a) a calculator (b) photos grouped by face (c) an image generator (d) a voice assistant
  9. 9.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) a doorbell (b) a torch (c) voice typing (d) a printed timetable
  11. 11.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  12. 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) writing a new poem (c) spotting spam (d) composing a new tune
  13. 13.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
  14. 14.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  15. 15.Which of these is bad for training a model? (a) photos in many lights (b) labels added at random (c) checking labels twice (d) correct labels
  16. 16.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
  17. 17.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
  18. 18.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  19. 19.⏩ In machine learning, which comes first: naming a new leaf or what training builds? (a) naming a new leaf (b) what training builds
  20. 20.True or false: “one set rule per case” describes how AI works. (a) False (b) True
  21. 21.Which of these is training data? (a) recorded spoken words (b) naming a new fruit photo (c) flagging a new email (d) the learned patterns
  22. 22.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) same steps every time (d) improves with more data
  23. 23.Which of these uses AI? (a) a microwave timer (b) voice typing (c) a torch (d) a fan regulator
  24. 24.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  25. 25.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) children speak too fast (c) it was a rainy day (d) few child voices in data
  26. 26.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) AI copies data patterns (b) long answers are true (c) AI can be wrong (d) AI learns from data
  28. 28.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  29. 29.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  30. 30.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  31. 31.Which of these is a myth about AI? (a) AI always checks facts (b) AI can be wrong (c) AI can make up facts (d) AI copies data patterns
  32. 32.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  33. 33.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) recommending (b) recognising (c) predicting (d) generating
  34. 34.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  35. 35.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) wrong labels (d) checking labels twice
  36. 36.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
  37. 37.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  38. 38.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) confident means correct (d) AI answers need checking
  39. 39.Which of these is the model? (a) the trained program (b) naming a new fruit photo (c) flagging a new email (d) past weather records
  40. 40.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training

Answer key

  1. True
  2. recorded spoken words
  3. trust the textbook
  4. a normal program
  5. False
  6. a doorbell
  7. people
  8. a calculator
  9. True
  10. voice typing
  11. False
  12. spotting spam
  13. False
  14. balanced data
  15. labels added at random
  16. False
  17. True
  18. True
  19. what training builds
  20. False
  21. recorded spoken words
  22. improves with more data
  23. voice typing
  24. makes something new
  25. few child voices in data
  26. True
  27. long answers are true
  28. False
  29. no, it can be wrong
  30. needs AI (learning)
  31. AI always checks facts
  32. False
  33. predicting
  34. data, model, prediction
  35. checking labels twice
  36. music or sound
  37. AI
  38. confident means correct
  39. the trained program
  40. good for training

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