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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 108 · 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.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  2. 2.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
  3. 3.Which of these uses AI? (a) a stopwatch (b) a microwave timer (c) a fan regulator (d) an app translating signs
  4. 4.🧐 Fact or myth: “AI has real feelings”? (a) a myth (b) a fact
  5. 5.Which of these uses AI? (a) a light switch (b) an image generator (c) a calculator (d) a digital watch
  6. 6.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  7. 7.True or false: a video app suggesting what to watch next is AI recommending something. (a) True (b) False
  8. 8.Which of these is the model? (a) labelled fruit photos (b) past weather records (c) old emails marked spam (d) the learned patterns
  9. 9.🔍 Which is the odd one out? (a) a map predicting traffic (b) a kitchen weighing scale (c) a microwave timer (d) a stopwatch
  10. 10.True or false: “copy old unfair choices” adds to bias. (a) False (b) True
  11. 11.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) use one group only (b) balance the data (c) add varied examples (d) check who is missing
  13. 13.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  14. 14.Which of these uses AI? (a) a fan regulator (b) a digital watch (c) a kitchen weighing scale (d) a voice assistant
  15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
  16. 16.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
  17. 17.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) True (b) False
  18. 18.True or false: “a logo idea for the eco club” asks for music or sound. (a) True (b) False
  19. 19.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
  20. 20.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
  21. 21.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) the model (b) a prediction (c) training data
  22. 22.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
  23. 23.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  24. 24.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  25. 25.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
  26. 26.🔍 Which is the odd one out? (a) AI always checks facts (b) AI answers need checking (c) long answers are true (d) confident means correct
  27. 27.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  28. 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  29. 29.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  31. 31.True or false: “skip testing” helps reduce bias. (a) False (b) True
  32. 32.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  33. 33.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
  34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  35. 35.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  36. 36.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
  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) not spam (b) spam
  38. 38.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) 500 labelled leaf photos (d) what training builds
  39. 39.🧪 Why test a model on NEW examples? (a) to delete its data (b) to change its name (c) to make it slower (d) to see if it works
  40. 40.🔍 Which is the odd one out? (a) suggesting a video (b) drafting a letter (c) spotting a sick leaf (d) predicting rain

Answer key

  1. good for training
  2. artificial intelligence
  3. an app translating signs
  4. a myth
  5. an image generator
  6. good for training
  7. True
  8. the learned patterns
  9. a map predicting traffic
  10. True
  11. False
  12. use one group only
  13. a real check
  14. a voice assistant
  15. many labelled photos
  16. True
  17. True
  18. False
  19. False
  20. data, model, prediction
  21. training data
  22. adds to bias
  23. needs AI (learning)
  24. a fact
  25. False
  26. AI answers need checking
  27. makes something new
  28. one-sided data
  29. True
  30. reduces bias
  31. False
  32. False
  33. True
  34. reduces bias
  35. bad for training
  36. no, it finds patterns
  37. not spam
  38. flagging a new email
  39. to see if it works
  40. drafting a letter

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