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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 954 · 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: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  2. 2.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  3. 3.🤖 What does AI stand for? (a) actual information (b) app installer (c) artificial intelligence (d) automatic internet
  4. 4.True or false: a car camera reading a speed sign is AI recognising something. (a) False (b) True
  5. 5.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  6. 6.🔍 Which is the odd one out? (a) fix wrong labels (b) copy old unfair choices (c) test on one group only (d) use one group only
  7. 7.True or false: “many varied examples” is bad for training a model. (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI always checks facts (d) AI can make up facts
  9. 9.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  10. 10.🧮 Is a basic calculator an AI system? (a) only at night (b) no, it follows rules (c) yes, it is smart (d) yes, it can think
  11. 11.🔍 Which is the odd one out? (a) only one kind of example (b) wrong labels (c) very few examples (d) new data for testing
  12. 12.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  13. 13.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  14. 14.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  15. 15.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) suggesting a video (d) drawing a new picture
  16. 16.🔍 Which is the odd one out? (a) AI can be wrong (b) AI has real feelings (c) AI is never wrong (d) confident means correct
  17. 17.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  18. 18.Which of these is a prediction? (a) past weather records (b) naming a new fruit photo (c) the trained program (d) old emails marked spam
  19. 19.🔍 Which is the odd one out? (a) predicting rain (b) reading number plates (c) composing a new tune (d) turning speech to text
  20. 20.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  21. 21.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) labelled fruit photos (d) the trained program
  22. 22.True or false: “improves with more data” describes how a normal program works. (a) False (b) True
  23. 23.True or false: “learns from examples” describes how AI works. (a) True (b) False
  24. 24.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) not spam (b) spam
  26. 26.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
  27. 27.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  28. 28.True or false: finding 10% of a price needs AI that learns from examples. (a) False (b) True
  29. 29.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
  30. 30.🛠️ Which does this job need: adding up the marks on a report card? (a) a simple rule is enough (b) needs AI (learning)
  31. 31.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  32. 32.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  33. 33.Which of these is a myth about AI? (a) AI copies data patterns (b) AI can make up facts (c) AI can mix up numbers (d) AI always checks facts
  34. 34.🔍 Which is the odd one out? (a) copies of one photo (b) many varied examples (c) blurry, unclear photos (d) labels added at random
  35. 35.🔍 Which is the odd one out? (a) drafting a letter (b) creating a cartoon (c) writing a new poem (d) predicting rain
  36. 36.🔍 Which is the odd one out? (a) a fan regulator (b) a torch (c) a kitchen weighing scale (d) video suggestions
  37. 37.✅ Is this a real check of an AI answer: see if the book exists? (a) not a real check (b) a real check
  38. 38.True or false: “labels added at random” is bad for training a model. (a) True (b) False
  39. 39.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) spotting a sick leaf (c) reading number plates (d) drawing a new picture
  40. 40.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) many varied examples (d) blurry, unclear photos

Answer key

  1. False
  2. good for training
  3. artificial intelligence
  4. True
  5. good for training
  6. fix wrong labels
  7. False
  8. AI can make up facts
  9. a normal program
  10. no, it follows rules
  11. new data for testing
  12. a prediction
  13. not a real check
  14. True
  15. suggesting a video
  16. AI can be wrong
  17. a prediction
  18. naming a new fruit photo
  19. composing a new tune
  20. True
  21. typing a new spoken word
  22. False
  23. True
  24. True
  25. spam
  26. its training data
  27. a normal program
  28. False
  29. text
  30. a simple rule is enough
  31. False
  32. makes something new
  33. AI always checks facts
  34. many varied examples
  35. predicting rain
  36. video suggestions
  37. a real check
  38. True
  39. drawing a new picture
  40. blurry, unclear photos

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