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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 683 · 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: “learns from examples” describes how AI works. (a) False (b) True
  2. 2.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  3. 3.Which of these is training data? (a) tomorrow’s rain guess (b) typing a new spoken word (c) the trained program (d) past weather records
  4. 4.True or false: “labelled fruit photos” is training data. (a) True (b) False
  5. 5.True or false: “the learned patterns” is the model. (a) False (b) True
  6. 6.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) examples of every type (d) only one kind of example
  7. 7.Which of these is a myth about AI? (a) AI is never wrong (b) AI can be wrong (c) AI can mix up numbers (d) AI learns from data
  8. 8.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) an image (c) music or sound
  9. 9.Which of these is bad for training a model? (a) clear, sharp examples (b) wrong labels (c) checking labels twice (d) photos in many lights
  10. 10.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) balanced data (b) one-sided data
  11. 11.🏷️ What is a “label” in machine learning? (a) the price (b) the font size (c) a sticker on a laptop (d) the right answer tag
  12. 12.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  13. 13.🔍 Which is the odd one out? (a) an image generator (b) voice typing (c) a spam filter (d) a printed timetable
  14. 14.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  15. 15.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) True (b) False
  16. 16.⏩ In machine learning, which comes first: naming a new fruit photo or the learned patterns? (a) naming a new fruit photo (b) the learned patterns
  17. 17.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  19. 19.Which of these uses AI? (a) a digital watch (b) a spam filter (c) a light switch (d) a calculator
  20. 20.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  21. 21.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  22. 22.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
  23. 23.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
  24. 24.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  25. 25.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) generating (c) recognising (d) predicting
  26. 26.True or false: “balance the data” helps reduce bias. (a) False (b) True
  27. 27.True or false: a book app suggesting a story like your last one is AI generating something new. (a) False (b) True
  28. 28.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  29. 29.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  30. 30.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  31. 31.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  32. 32.Which of these is a fact about AI? (a) AI is never wrong (b) long answers are true (c) AI can mix up numbers (d) AI has real feelings
  33. 33.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) True (b) False
  34. 34.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) creating a cartoon (c) turning speech to text (d) reading number plates
  35. 35.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) recommending (c) recognising (d) predicting
  36. 36.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
  37. 37.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  38. 38.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  39. 39.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
  40. 40.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) many varied examples (d) only one kind of example

Answer key

  1. True
  2. bad for training
  3. past weather records
  4. True
  5. True
  6. examples of every type
  7. AI is never wrong
  8. music or sound
  9. wrong labels
  10. balanced data
  11. the right answer tag
  12. False
  13. a printed timetable
  14. sorts or predicts
  15. False
  16. the learned patterns
  17. a simple rule is enough
  18. the model
  19. a spam filter
  20. False
  21. a real check
  22. makes new content
  23. it learns from examples
  24. adds to bias
  25. predicting
  26. True
  27. False
  28. True
  29. a fact
  30. False
  31. True
  32. AI can mix up numbers
  33. False
  34. creating a cartoon
  35. predicting
  36. a prompt
  37. needs AI (learning)
  38. makes something new
  39. sorts or predicts
  40. only one kind of example

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