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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 598 · 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: “500 labelled leaf photos” is a prediction. (a) False (b) True
  2. 2.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  3. 3.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  4. 4.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) generating (c) predicting (d) recommending
  5. 5.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
  6. 6.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  7. 7.🗣️ A voice app understands adults but not children. What is the likely reason? (a) few child voices in data (b) it was a rainy day (c) children speak too fast (d) the phone was new
  8. 8.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False
  9. 9.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
  10. 10.Which of these adds to bias? (a) copy old unfair choices (b) check who is missing (c) balance the data (d) test on many groups
  11. 11.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
  12. 12.True or false: “rain sound effects for a play” asks for text. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: the trained program or naming a new fruit photo? (a) the trained program (b) naming a new fruit photo
  14. 14.🔦 Is a torch with an on/off switch AI? (a) no (b) yes (c) only if it is bright
  15. 15.🏷️ What is a “label” in machine learning? (a) the price (b) the right answer tag (c) the font size (d) a sticker on a laptop
  16. 16.🔍 Which is the odd one out? (a) clear, sharp examples (b) checking labels twice (c) photos in many lights (d) very few examples
  17. 17.🔍 Which is the odd one out? (a) making up a story (b) drafting a letter (c) suggesting a video (d) writing quiz questions
  18. 18.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  19. 19.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  20. 20.True or false: ringing the school bell at 9 am only needs a simple fixed rule. (a) True (b) False
  21. 21.🛠️ Which does this job need: switching on a street light at 6 pm? (a) needs AI (learning) (b) a simple rule is enough
  22. 22.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  23. 23.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) text (b) an image (c) music or sound
  24. 24.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recognising (c) generating (d) recommending
  25. 25.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) cooking (c) recommending (d) printing
  26. 26.True or false: “correct labels” is good for training a model. (a) False (b) True
  27. 27.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
  28. 28.True or false: “ask different people” adds to bias. (a) True (b) False
  29. 29.🧪 Why test a model on NEW examples? (a) to make it slower (b) to change its name (c) to see if it works (d) to delete its data
  30. 30.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) inventing a recipe (b) composing a new tune (c) spotting spam (d) writing a new poem
  32. 32.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  33. 33.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  34. 34.Which of these describes how AI works? (a) never learns from data (b) follows fixed rules (c) handles unseen examples (d) uses rules people wrote
  35. 35.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
  36. 36.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  37. 37.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) generating (b) recommending (c) recognising (d) predicting
  38. 38.True or false: “copies of one photo” is good for training a model. (a) True (b) False
  39. 39.True or false: “AI can make up facts” is a myth about AI. (a) False (b) True
  40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam

Answer key

  1. False
  2. not AI
  3. people
  4. recognising
  5. True
  6. uses AI
  7. few child voices in data
  8. True
  9. True
  10. copy old unfair choices
  11. True
  12. False
  13. the trained program
  14. no
  15. the right answer tag
  16. very few examples
  17. suggesting a video
  18. 500 labelled leaf photos
  19. adds to bias
  20. True
  21. a simple rule is enough
  22. bad for training
  23. text
  24. recognising
  25. recommending
  26. True
  27. False
  28. False
  29. to see if it works
  30. False
  31. spotting spam
  32. reduces bias
  33. data, model, prediction
  34. handles unseen examples
  35. artificial intelligence
  36. True
  37. recommending
  38. False
  39. False
  40. not spam

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