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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 128 · 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.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recommending (c) recognising (d) generating
  2. 2.True or false: an online shop showing “you may also like” is AI recommending something. (a) False (b) True
  3. 3.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) many labelled photos (c) a list of rules only (d) a song about dogs
  4. 4.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  5. 5.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
  6. 6.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  8. 8.🔍 Which is the odd one out? (a) AI can be wrong (b) AI copies data patterns (c) AI answers need checking (d) AI has real feelings
  9. 9.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) inventing a recipe (c) creating a cartoon (d) spotting spam
  10. 10.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
  11. 11.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  12. 12.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  13. 13.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) an image (b) text (c) music or sound
  14. 14.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  15. 15.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  16. 16.📱 What is the AI doing here: a video app suggesting what to watch next? (a) predicting (b) recognising (c) recommending (d) generating
  17. 17.True or false: “check who is missing” adds to bias. (a) True (b) False
  18. 18.True or false: a video app suggesting what to watch next is AI recommending something. (a) False (b) True
  19. 19.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
  20. 20.🔍 Which is the odd one out? (a) writing a new poem (b) predicting rain (c) sorting photos by face (d) turning speech to text
  21. 21.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) a prediction (c) the model
  22. 22.Which of these uses AI? (a) a doorbell (b) a digital watch (c) a voice assistant (d) a stopwatch
  23. 23.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
  24. 24.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  25. 25.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) turning speech to text (c) composing a new tune (d) spotting spam
  26. 26.Which of these is good for training a model? (a) examples of every type (b) copies of one photo (c) only one kind of example (d) very few examples
  27. 27.📚 Good or bad for training a model: labels added at random? (a) good for training (b) bad for training
  28. 28.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  29. 29.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  30. 30.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  31. 31.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  32. 32.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  33. 33.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  34. 34.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) predicting (c) drawing (d) singing
  35. 35.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
  36. 36.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  37. 37.🤖 Who builds and trains AI systems? (a) the Moon (b) the weather (c) nobody at all (d) people
  38. 38.Which of these is the model? (a) old emails marked spam (b) tomorrow’s rain guess (c) 500 labelled leaf photos (d) what training builds
  39. 39.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) recommending (c) predicting (d) generating
  40. 40.Which of these is bad for training a model? (a) examples of every type (b) blurry, unclear photos (c) photos in many lights (d) many varied examples

Answer key

  1. recognising
  2. True
  3. many labelled photos
  4. good for training
  5. artificial intelligence
  6. True
  7. AI
  8. AI has real feelings
  9. spotting spam
  10. False
  11. makes something new
  12. learn from data
  13. music or sound
  14. reduces bias
  15. bad for training
  16. recommending
  17. False
  18. True
  19. False
  20. writing a new poem
  21. training data
  22. a voice assistant
  23. a prompt
  24. data, model, prediction
  25. composing a new tune
  26. examples of every type
  27. bad for training
  28. uses AI
  29. a normal program
  30. a simple rule is enough
  31. False
  32. False
  33. a real check
  34. predicting
  35. a simple rule is enough
  36. a prediction
  37. people
  38. what training builds
  39. generating
  40. blurry, unclear photos

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