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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 497 · 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 is the odd one out? (a) sorting photos by face (b) reading number plates (c) writing a new poem (d) predicting rain
  2. 2.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  3. 3.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) an image (c) music or sound
  4. 4.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  5. 5.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) True (b) False
  6. 6.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) generating (d) predicting
  7. 7.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
  8. 8.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  9. 9.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  10. 10.🔍 Which is the odd one out? (a) creating a cartoon (b) inventing a recipe (c) spotting spam (d) writing a new poem
  11. 11.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  12. 12.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  14. 14.True or false: “a picture of a castle made of mangoes” asks for text. (a) False (b) True
  15. 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) the model (c) training data
  16. 16.True or false: “correct labels” is good for training a model. (a) False (b) True
  17. 17.🔍 Which is the odd one out? (a) balance the data (b) ask different people (c) use one group only (d) test on many groups
  18. 18.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  19. 19.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) correct labels
  20. 20.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
  21. 21.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
  22. 22.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  23. 23.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  24. 24.Which of these is bad for training a model? (a) many varied examples (b) clear, sharp examples (c) labels added at random (d) photos in many lights
  25. 25.Which of these describes how AI works? (a) learns from examples (b) one set rule per case (c) follows fixed rules (d) same steps every time
  26. 26.True or false: “recorded spoken words” is a prediction. (a) True (b) False
  27. 27.🔍 Which is the odd one out? (a) suggesting a video (b) creating a cartoon (c) sorting photos by face (d) spotting spam
  28. 28.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
  29. 29.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  30. 30.⏩ In machine learning, which comes first: labelled fruit photos or typing a new spoken word? (a) labelled fruit photos (b) typing a new spoken word
  31. 31.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  32. 32.True or false: “follows fixed rules” describes how a normal program works. (a) False (b) True
  33. 33.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  34. 34.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  35. 35.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  36. 36.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) recorded spoken words (d) the learned patterns
  37. 37.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its colour (d) its training data
  38. 38.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  39. 39.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  40. 40.Which of these describes how AI works? (a) follows fixed rules (b) never learns from data (c) uses rules people wrote (d) makes a best guess

Answer key

  1. writing a new poem
  2. a myth
  3. text
  4. a real check
  5. False
  6. predicting
  7. trust the textbook
  8. makes something new
  9. reduces bias
  10. spotting spam
  11. needs AI (learning)
  12. needs AI (learning)
  13. the model
  14. False
  15. training data
  16. True
  17. use one group only
  18. a normal program
  19. correct labels
  20. artificial intelligence
  21. False
  22. one-sided data
  23. needs AI (learning)
  24. labels added at random
  25. learns from examples
  26. False
  27. creating a cartoon
  28. False
  29. balanced data
  30. labelled fruit photos
  31. balanced data
  32. True
  33. not a real check
  34. good for training
  35. uses AI
  36. typing a new spoken word
  37. its training data
  38. one-sided data
  39. a fact
  40. makes a best guess

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