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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 414 · 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.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
  2. 2.True or false: “many varied examples” is good for training a model. (a) True (b) False
  3. 3.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  4. 4.True or false: adding up the marks on a report card only needs a simple fixed rule. (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) use one group only (b) skip testing (c) ask different people (d) copy old unfair choices
  6. 6.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) True (b) False
  7. 7.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) predicting (c) recommending (d) recognising
  8. 8.📅 An AI gives a date for a history event. How can you check? (a) look in your textbook (b) ask it to repeat (c) pick a lucky number (d) guess
  9. 9.True or false: the message “The class picnic is on Friday at 8 am” should be labelled “not spam”. (a) False (b) True
  10. 10.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
  11. 11.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) False (b) True
  12. 12.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
  13. 13.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  14. 14.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a prompt (d) a label
  15. 15.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  16. 16.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  17. 17.🏠 AI or not AI: a map predicting traffic? (a) uses AI (b) not AI
  18. 18.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  19. 19.True or false: “uses rules people wrote” describes how a normal program works. (a) False (b) True
  20. 20.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) predicting (b) recognising (c) recommending (d) generating
  21. 21.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  22. 22.🔍 Which is the odd one out? (a) confident means correct (b) AI has real feelings (c) AI copies data patterns (d) AI is never wrong
  23. 23.✨ Generative or not: suggesting a video? (a) sorts or predicts (b) makes something new
  24. 24.Which of these is a prediction? (a) naming a new leaf (b) the trained program (c) the learned patterns (d) what training builds
  25. 25.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  26. 26.True or false: “a drum beat for a dance” asks for text. (a) False (b) True
  27. 27.🛠️ Which does this job need: translating a sentence into Hindi? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
  29. 29.Which of these describes how a normal program works? (a) improves with more data (b) learns from examples (c) spots patterns in data (d) never learns from data
  30. 30.True or false: “AI can mix up numbers” is a myth about AI. (a) True (b) False
  31. 31.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recognising (c) recommending (d) generating
  32. 32.Which of these describes how AI works? (a) gives a likely answer (b) same steps every time (c) one set rule per case (d) follows fixed rules
  33. 33.Which of these is training data? (a) tomorrow’s rain guess (b) labelled fruit photos (c) naming a new fruit photo (d) the learned patterns
  34. 34.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) True (b) False
  35. 35.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  36. 36.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  37. 37.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  38. 38.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it will be perfect (c) it may get it wrong (d) it will shut down
  39. 39.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
  40. 40.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it learns from examples (c) it is always right (d) it has a screen

Answer key

  1. to see if it works
  2. True
  3. good for training
  4. True
  5. ask different people
  6. True
  7. recommending
  8. look in your textbook
  9. True
  10. makes something new
  11. True
  12. reduces bias
  13. not AI
  14. a prompt
  15. more varied data
  16. makes something new
  17. uses AI
  18. not AI
  19. True
  20. recognising
  21. sorts or predicts
  22. AI copies data patterns
  23. sorts or predicts
  24. naming a new leaf
  25. a prediction
  26. False
  27. needs AI (learning)
  28. False
  29. never learns from data
  30. False
  31. predicting
  32. gives a likely answer
  33. labelled fruit photos
  34. False
  35. makes something new
  36. AI
  37. one-sided data
  38. it may get it wrong
  39. False
  40. it learns from examples

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