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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 205 · 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 does AI stand for? (a) app installer (b) automatic internet (c) actual information (d) artificial intelligence
  2. 2.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  3. 3.⏩ In machine learning, which comes first: flagging a new email or past weather records? (a) flagging a new email (b) past weather records
  4. 4.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  5. 5.🏠 AI or not AI: a light switch? (a) uses AI (b) not AI
  6. 6.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  7. 7.🔍 Which is the odd one out? (a) a calculator (b) a microwave timer (c) a digital watch (d) a map predicting traffic
  8. 8.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) an image (c) music or sound
  9. 9.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  10. 10.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) AI can mix up numbers (b) long answers are true (c) AI can make up facts (d) AI can be wrong
  12. 12.True or false: “add more of the same” helps reduce bias. (a) False (b) True
  13. 13.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) drawing a new picture (c) sorting photos by face (d) turning speech to text
  14. 14.True or false: “test on one group only” adds to bias. (a) True (b) False
  15. 15.Which of these helps reduce bias? (a) test on one group only (b) ignore complaints (c) check who is missing (d) add more of the same
  16. 16.🔍 Which is the odd one out? (a) a torch (b) face unlock on a phone (c) photos grouped by face (d) a voice assistant
  17. 17.Which of these uses AI? (a) a stopwatch (b) a digital watch (c) face unlock on a phone (d) a printed timetable
  18. 18.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  19. 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
  20. 20.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
  21. 21.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  22. 22.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) the learned patterns (d) labelled fruit photos
  23. 23.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  24. 24.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  25. 25.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  26. 26.🏷️ 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
  27. 27.⏩ In machine learning, which comes first: the trained program or flagging a new email? (a) the trained program (b) flagging a new email
  28. 28.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  29. 29.🛠️ Which does this job need: translating a sentence into Hindi? (a) a simple rule is enough (b) needs AI (learning)
  30. 30.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
  31. 31.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recommending (c) recognising (d) generating
  32. 32.Which of these is not AI? (a) an image generator (b) a stopwatch (c) an AI chatbot (d) an app translating signs
  33. 33.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI
  34. 34.Which of these is not AI? (a) an image generator (b) a printed timetable (c) a spam filter (d) voice typing
  35. 35.True or false: “write a poem about the monsoon” asks for text. (a) True (b) False
  36. 36.True or false: “what training builds” is a prediction. (a) False (b) True
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
  38. 38.Which of these is a myth about AI? (a) AI copies data patterns (b) AI always checks facts (c) AI can be wrong (d) AI can make up facts
  39. 39.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  40. 40.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long

Answer key

  1. artificial intelligence
  2. AI
  3. past weather records
  4. bad for training
  5. not AI
  6. good for training
  7. a map predicting traffic
  8. text
  9. True
  10. True
  11. long answers are true
  12. False
  13. drawing a new picture
  14. True
  15. check who is missing
  16. a torch
  17. face unlock on a phone
  18. training data
  19. not spam
  20. trust the textbook
  21. balanced data
  22. the learned patterns
  23. True
  24. True
  25. a myth
  26. not spam
  27. the trained program
  28. no
  29. needs AI (learning)
  30. adds to bias
  31. generating
  32. a stopwatch
  33. not AI
  34. a printed timetable
  35. True
  36. False
  37. not spam
  38. AI always checks facts
  39. True
  40. no, check it anyway

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