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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 99 · 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.🏠 AI or not AI: a torch? (a) not AI (b) uses AI
  2. 2.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  3. 3.True or false: a music app suggesting a song you may like is AI recommending something. (a) True (b) False
  4. 4.Which of these is a myth about AI? (a) AI can mix up numbers (b) long answers are true (c) AI can be wrong (d) AI learns from data
  5. 5.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  6. 6.🎨 An image generator makes a picture from… (a) a text description (b) a phone number (c) your password (d) the weather
  7. 7.🎨 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) text (c) music or sound
  8. 8.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  9. 9.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) one-sided data (b) balanced data
  10. 10.Which of these is good for training a model? (a) only one kind of example (b) very few examples (c) photos in many lights (d) blurry, unclear photos
  11. 11.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
  12. 12.🤖 Who builds and trains AI systems? (a) the weather (b) people (c) nobody at all (d) the Moon
  13. 13.🧠 Machine learning is a way for computers to… (a) clean screens (b) learn from data (c) charge faster (d) print pages
  14. 14.Which of these is not AI? (a) a kitchen weighing scale (b) face unlock on a phone (c) a map predicting traffic (d) a spam filter
  15. 15.Which of these helps reduce bias? (a) skip testing (b) ignore complaints (c) test on many groups (d) copy old unfair choices
  16. 16.🔁 What is the right order? (a) model, prediction, data (b) data, prediction, model (c) prediction, data, model (d) data, model, prediction
  17. 17.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  18. 18.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) predicting (d) recognising
  19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) ignore complaints (c) balance the data (d) ask different people
  20. 20.Which of these uses AI? (a) a kitchen weighing scale (b) video suggestions (c) a torch (d) a doorbell
  21. 21.True or false: “test on many groups” adds to bias. (a) False (b) True
  22. 22.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  23. 23.🔍 Which is the odd one out? (a) photos in many lights (b) copies of one photo (c) only one kind of example (d) blurry, unclear photos
  24. 24.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI is never wrong (d) AI copies data patterns
  25. 25.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  26. 26.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
  27. 27.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  28. 28.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) text (b) music or sound (c) an image
  30. 30.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) correct labels (d) photos in many lights
  32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  33. 33.Which of these is training data? (a) what training builds (b) naming a new leaf (c) tomorrow’s rain guess (d) 500 labelled leaf photos
  34. 34.True or false: “many varied examples” is good for training a model. (a) False (b) True
  35. 35.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can mix up numbers (c) AI is never wrong (d) AI copies data patterns
  36. 36.True or false: “ask different people” adds to bias. (a) False (b) True
  37. 37.🔍 Which is the odd one out? (a) drafting a letter (b) writing quiz questions (c) reading number plates (d) inventing a recipe
  38. 38.🛠️ Which does this job need: sorting names in A to Z order? (a) a simple rule is enough (b) needs AI (learning)
  39. 39.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) change colour (d) better at its task
  40. 40.Which of these uses AI? (a) a calculator (b) a digital watch (c) a stopwatch (d) an image generator

Answer key

  1. not AI
  2. uses AI
  3. True
  4. long answers are true
  5. not AI
  6. a text description
  7. text
  8. True
  9. one-sided data
  10. photos in many lights
  11. not a real check
  12. people
  13. learn from data
  14. a kitchen weighing scale
  15. test on many groups
  16. data, model, prediction
  17. uses AI
  18. generating
  19. ignore complaints
  20. video suggestions
  21. False
  22. sorts or predicts
  23. photos in many lights
  24. AI is never wrong
  25. bad for training
  26. trust the textbook
  27. makes something new
  28. True
  29. an image
  30. True
  31. blurry, unclear photos
  32. the model
  33. 500 labelled leaf photos
  34. True
  35. AI is never wrong
  36. False
  37. reading number plates
  38. a simple rule is enough
  39. better at its task
  40. an image generator

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