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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 252 · 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: “what training builds” is training data. (a) False (b) True
  2. 2.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will shut down (c) it will be perfect (d) it may get it wrong
  3. 3.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  4. 4.⏩ In machine learning, which comes first: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  5. 5.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
  6. 6.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
  7. 7.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  8. 8.True or false: “rain sound effects for a play” asks for an image. (a) False (b) True
  9. 9.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  10. 10.True or false: “write a poem about the monsoon” asks for an image. (a) False (b) True
  11. 11.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
  12. 12.True or false: “skip testing” helps reduce bias. (a) True (b) False
  13. 13.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
  14. 14.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
  15. 15.True or false: a keyboard guessing your next word is AI predicting something. (a) False (b) True
  16. 16.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
  17. 17.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
  18. 18.🛠️ What helps make an AI system fairer? (a) ignoring mistakes (b) fewer tests (c) one group only (d) more varied data
  19. 19.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
  20. 20.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  21. 21.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI can be wrong (c) AI is never wrong (d) AI can make up facts
  22. 22.🔍 Which is the odd one out? (a) sorting photos by face (b) reading number plates (c) unlocking with a face (d) composing a new tune
  23. 23.True or false: “checking labels twice” is good for training a model. (a) False (b) True
  24. 24.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  25. 25.🔍 Which is the odd one out? (a) suggesting a video (b) making up a story (c) predicting rain (d) reading number plates
  26. 26.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) training data (c) a prediction
  27. 27.Which of these is training data? (a) typing a new spoken word (b) what training builds (c) naming a new fruit photo (d) 500 labelled leaf photos
  28. 28.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) generating (c) recommending (d) recognising
  29. 29.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  30. 30.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.True or false: “testing on training data” is good for training a model. (a) True (b) False
  32. 32.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
  33. 33.Which of these is not AI? (a) an AI chatbot (b) a voice assistant (c) a microwave timer (d) a map predicting traffic
  34. 34.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
  35. 35.True or false: “follows fixed rules” describes how AI works. (a) True (b) False
  36. 36.🧐 Fact or myth: “AI can make up facts”? (a) a fact (b) a myth
  37. 37.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a password (d) a battery
  38. 38.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  39. 39.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  40. 40.Which of these is the model? (a) 500 labelled leaf photos (b) the learned patterns (c) naming a new leaf (d) recorded spoken words

Answer key

  1. False
  2. it may get it wrong
  3. one-sided data
  4. the trained program
  5. True
  6. True
  7. a prediction
  8. False
  9. bad for training
  10. False
  11. a real check
  12. False
  13. True
  14. False
  15. True
  16. a myth
  17. no, check it anyway
  18. more varied data
  19. True
  20. not spam
  21. AI is never wrong
  22. composing a new tune
  23. True
  24. makes something new
  25. making up a story
  26. training data
  27. 500 labelled leaf photos
  28. recommending
  29. needs AI (learning)
  30. False
  31. False
  32. True
  33. a microwave timer
  34. spam
  35. False
  36. a fact
  37. a prompt
  38. True
  39. good for training
  40. the learned patterns

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