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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 470 · 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.Which of these describes how AI works? (a) uses rules people wrote (b) does exactly as coded (c) spots patterns in data (d) follows fixed rules
  2. 2.True or false: a music app suggesting a song you may like is AI recognising something. (a) False (b) True
  3. 3.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  4. 4.✅ Is this a real check of an AI answer: it sounds very sure? (a) a real check (b) not a real check
  5. 5.True or false: “blurry, unclear photos” is bad for training a model. (a) False (b) True
  6. 6.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
  7. 7.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
  8. 8.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) one single photo (d) a song about dogs
  9. 9.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) testing on training data (d) correct labels
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
  11. 11.🔍 Which is the odd one out? (a) photos grouped by face (b) a calculator (c) a map predicting traffic (d) a spam filter
  12. 12.Which of these is a fact about AI? (a) AI always checks facts (b) AI is never wrong (c) AI has real feelings (d) AI answers need checking
  13. 13.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  14. 14.🔍 Which is the odd one out? (a) suggesting a video (b) unlocking with a face (c) predicting rain (d) drawing a new picture
  15. 15.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  16. 16.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it may get it wrong (c) it will be perfect (d) it will turn yellow
  17. 17.🤖 AI or a normal program: which one “uses rules people wrote”? (a) a normal program (b) AI
  18. 18.Which of these is a fact about AI? (a) AI knows everything (b) AI is never wrong (c) long answers are true (d) AI learns from data
  19. 19.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) sorting photos by face (c) spotting a sick leaf (d) composing a new tune
  20. 20.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  21. 21.Which of these is the model? (a) the trained program (b) typing a new spoken word (c) past weather records (d) old emails marked spam
  22. 22.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  23. 23.True or false: “see if the book exists” is a real way to check an AI answer. (a) True (b) False
  24. 24.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
  25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) the model (c) training data
  26. 26.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  27. 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  28. 28.True or false: stories with doctors of every gender is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.True or false: reading messy handwriting needs AI that learns from examples. (a) False (b) True
  30. 30.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) an AI chatbot (c) a map predicting traffic (d) a voice assistant
  32. 32.✨ What does generative AI do? (a) only stores files (b) makes new content (c) charges batteries (d) only adds numbers
  33. 33.🧪 Why test a model on NEW examples? (a) to delete its data (b) to see if it works (c) to make it slower (d) to change its name
  34. 34.🔍 Which is the odd one out? (a) very few examples (b) photos in many lights (c) labels added at random (d) wrong labels
  35. 35.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  36. 36.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) no, it finds patterns (d) only on weekends
  37. 37.Which of these uses AI? (a) a light switch (b) a digital watch (c) an AI chatbot (d) a kitchen weighing scale
  38. 38.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  39. 39.Which of these is bad for training a model? (a) blurry, unclear photos (b) checking labels twice (c) many varied examples (d) clear, sharp examples
  40. 40.True or false: the message “Your library book is due on Monday” should be labelled “not spam”. (a) True (b) False

Answer key

  1. spots patterns in data
  2. False
  3. needs AI (learning)
  4. not a real check
  5. True
  6. True
  7. True
  8. many labelled photos
  9. correct labels
  10. not spam
  11. a calculator
  12. AI answers need checking
  13. False
  14. drawing a new picture
  15. reduces bias
  16. it may get it wrong
  17. a normal program
  18. AI learns from data
  19. composing a new tune
  20. True
  21. the trained program
  22. AI
  23. True
  24. sorts or predicts
  25. training data
  26. True
  27. reduces bias
  28. False
  29. True
  30. True
  31. a kitchen weighing scale
  32. makes new content
  33. to see if it works
  34. photos in many lights
  35. False
  36. no, it finds patterns
  37. an AI chatbot
  38. a myth
  39. blurry, unclear photos
  40. True

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