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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 787 · 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.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  2. 2.True or false: “the learned patterns” is the model. (a) True (b) False
  3. 3.True or false: “labels added at random” is good for training a model. (a) True (b) False
  4. 4.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  5. 5.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  6. 6.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  7. 7.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
  8. 8.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
  9. 9.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  10. 10.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
  11. 11.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
  12. 12.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  13. 13.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) False (b) True
  14. 14.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) no, it follows rules (d) yes, it can think
  15. 15.⏩ In machine learning, which comes first: 500 labelled leaf photos or what training builds? (a) 500 labelled leaf photos (b) what training builds
  16. 16.Which of these is bad for training a model? (a) correct labels (b) checking labels twice (c) copies of one photo (d) many varied examples
  17. 17.Which of these is a fact about AI? (a) AI always checks facts (b) AI answers need checking (c) AI knows everything (d) AI has real feelings
  18. 18.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  19. 19.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  20. 20.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) not spam (b) spam
  22. 22.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) True (b) False
  23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  24. 24.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  25. 25.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI is never wrong (d) AI can be wrong
  26. 26.🔍 Which is the odd one out? (a) video suggestions (b) a kitchen weighing scale (c) face unlock on a phone (d) a voice assistant
  27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a fair model (d) a strong battery
  28. 28.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) cooking (d) recommending
  29. 29.Which of these describes how AI works? (a) follows fixed rules (b) spots patterns in data (c) one set rule per case (d) same steps every time
  30. 30.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  31. 31.🧪 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
  32. 32.True or false: “a drum beat for a dance” asks for music or sound. (a) True (b) False
  33. 33.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
  34. 34.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
  35. 35.Which of these is not AI? (a) video suggestions (b) an image generator (c) an AI chatbot (d) a kitchen weighing scale
  36. 36.Which of these adds to bias? (a) ask different people (b) use one group only (c) fix wrong labels (d) balance the data
  37. 37.True or false: reading messy handwriting only needs a simple fixed rule. (a) True (b) False
  38. 38.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
  39. 39.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) predicting (d) recognising
  40. 40.🧮 Which of these is NOT AI? (a) a basic calculator (b) a spam filter (c) voice typing (d) face unlock

Answer key

  1. no, it can be wrong
  2. True
  3. False
  4. reduces bias
  5. True
  6. one-sided data
  7. True
  8. artificial intelligence
  9. False
  10. text
  11. uses AI
  12. False
  13. False
  14. no, it follows rules
  15. 500 labelled leaf photos
  16. copies of one photo
  17. AI answers need checking
  18. True
  19. a simple rule is enough
  20. not a real check
  21. not spam
  22. False
  23. not spam
  24. a normal program
  25. AI can be wrong
  26. a kitchen weighing scale
  27. bias from data
  28. recommending
  29. spots patterns in data
  30. needs AI (learning)
  31. to see if it works
  32. True
  33. bad for training
  34. True
  35. a kitchen weighing scale
  36. use one group only
  37. False
  38. a fact
  39. recognising
  40. a basic calculator

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