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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 652 · 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 of these is good for training a model? (a) wrong labels (b) only one kind of example (c) photos in many lights (d) testing on training data
  2. 2.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
  3. 3.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  4. 4.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  5. 5.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) the weather (c) its screen size (d) its colour
  7. 7.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it takes photos (d) it charges up
  8. 8.True or false: “ask different people” helps reduce bias. (a) True (b) False
  9. 9.✨ Generative or not: inventing a recipe? (a) sorts or predicts (b) makes something new
  10. 10.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  11. 11.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  12. 12.🔍 Which is the odd one out? (a) add more of the same (b) ask different people (c) use one group only (d) ignore complaints
  13. 13.True or false: “skip testing” adds to bias. (a) True (b) False
  14. 14.Which of these is training data? (a) flagging a new email (b) typing a new spoken word (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  15. 15.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
  16. 16.Which of these is not AI? (a) face unlock on a phone (b) an AI chatbot (c) photos grouped by face (d) a fan regulator
  17. 17.True or false: “confident means correct” is a fact about AI. (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) drawing a new picture (b) suggesting a video (c) creating a cartoon (d) writing quiz questions
  19. 19.True or false: a camera app naming the flower you point at is AI predicting something. (a) False (b) True
  20. 20.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  21. 21.Which of these is a myth about AI? (a) AI can be wrong (b) AI copies data patterns (c) AI has real feelings (d) AI can make up facts
  22. 22.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) singing (c) sleeping (d) predicting
  23. 23.🔍 Which is the odd one out? (a) spotting a sick leaf (b) unlocking with a face (c) predicting rain (d) inventing a recipe
  24. 24.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  25. 25.Which of these uses AI? (a) a light switch (b) an AI chatbot (c) a microwave timer (d) a torch
  26. 26.Which of these is a prediction? (a) what training builds (b) flagging a new email (c) old emails marked spam (d) labelled fruit photos
  27. 27.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  28. 28.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  29. 29.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  31. 31.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  32. 32.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.Which of these adds to bias? (a) add varied examples (b) ask different people (c) test on many groups (d) add more of the same
  34. 34.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
  35. 35.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI is never wrong (d) AI can mix up numbers
  36. 36.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) handles unseen examples (d) uses rules people wrote
  37. 37.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  38. 38.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) examples of every type (b) clear, sharp examples (c) photos in many lights (d) labels added at random
  40. 40.🔍 Which is the odd one out? (a) predicting rain (b) creating a cartoon (c) inventing a recipe (d) writing a new poem

Answer key

  1. photos in many lights
  2. better at its task
  3. True
  4. a prediction
  5. needs AI (learning)
  6. its training data
  7. it learns patterns
  8. True
  9. makes something new
  10. False
  11. uses AI
  12. ask different people
  13. True
  14. 500 labelled leaf photos
  15. True
  16. a fan regulator
  17. False
  18. suggesting a video
  19. False
  20. the model
  21. AI has real feelings
  22. predicting
  23. inventing a recipe
  24. False
  25. an AI chatbot
  26. flagging a new email
  27. a real check
  28. AI
  29. uses AI
  30. False
  31. False
  32. needs AI (learning)
  33. add more of the same
  34. text
  35. AI is never wrong
  36. uses rules people wrote
  37. False
  38. True
  39. labels added at random
  40. predicting rain

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