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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 436 · 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.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  2. 2.🔍 Which is the odd one out? (a) new data for testing (b) many varied examples (c) correct labels (d) labels added at random
  3. 3.True or false: “a soft lullaby melody” asks for an image. (a) True (b) False
  4. 4.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  5. 5.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  6. 6.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  7. 7.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  8. 8.Which of these is a prediction? (a) naming a new fruit photo (b) the trained program (c) 500 labelled leaf photos (d) past weather records
  9. 9.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  10. 10.🔍 Which is the odd one out? (a) blurry, unclear photos (b) labels added at random (c) photos in many lights (d) very few examples
  11. 11.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) very few examples (d) wrong labels
  12. 12.True or false: “recorded spoken words” is the model. (a) False (b) True
  13. 13.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  14. 14.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  15. 15.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  16. 16.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  17. 17.Which of these is AI that sorts, spots or predicts (not generative)? (a) drawing a new picture (b) creating a cartoon (c) drafting a letter (d) spotting spam
  18. 18.🔍 Which is the odd one out? (a) AI is never wrong (b) long answers are true (c) AI has real feelings (d) AI learns from data
  19. 19.🤖 Who builds and trains AI systems? (a) people (b) nobody at all (c) the Moon (d) the weather
  20. 20.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) the weather (c) its training data (d) its screen size
  21. 21.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
  22. 22.True or false: “only one kind of example” is good for training a model. (a) False (b) True
  23. 23.🔍 Which is the odd one out? (a) a digital watch (b) a microwave timer (c) a printed timetable (d) a map predicting traffic
  24. 24.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) balanced data (b) one-sided data
  25. 25.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  26. 26.True or false: “AI can mix up numbers” is a fact about AI. (a) True (b) False
  27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  28. 28.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a summary (d) a password
  29. 29.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  30. 30.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  31. 31.True or false: “a story about a brave ant” asks for an image. (a) False (b) True
  32. 32.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) check who is missing (d) add varied examples
  33. 33.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  35. 35.Which of these uses AI? (a) a kitchen weighing scale (b) a digital watch (c) a calculator (d) an image generator
  36. 36.🔍 Which is the odd one out? (a) many varied examples (b) photos in many lights (c) examples of every type (d) very few examples
  37. 37.🔁 What is the right order? (a) data, model, prediction (b) prediction, data, model (c) data, prediction, model (d) model, prediction, data
  38. 38.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  39. 39.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
  40. 40.True or false: “wrong labels” is bad for training a model. (a) False (b) True

Answer key

  1. the trained program
  2. labels added at random
  3. False
  4. a prediction
  5. False
  6. not spam
  7. not AI
  8. naming a new fruit photo
  9. True
  10. photos in many lights
  11. correct labels
  12. False
  13. uses AI
  14. good for training
  15. not a real check
  16. False
  17. spotting spam
  18. AI learns from data
  19. people
  20. its training data
  21. a basic calculator
  22. False
  23. a map predicting traffic
  24. balanced data
  25. False
  26. True
  27. adds to bias
  28. a hallucination
  29. needs AI (learning)
  30. no, check it anyway
  31. False
  32. ignore complaints
  33. good for training
  34. training data
  35. an image generator
  36. very few examples
  37. data, model, prediction
  38. AI
  39. text
  40. True

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