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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 258 · 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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Share your OTP to get cashback” (a) spam (b) not spam
  2. 2.True or false: “a summary of chapter 3” asks for text. (a) False (b) True
  3. 3.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  4. 4.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
  5. 5.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  6. 6.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
  7. 7.Which of these uses AI? (a) a digital watch (b) a microwave timer (c) a printed timetable (d) an AI chatbot
  8. 8.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
  9. 9.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  10. 10.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  11. 11.True or false: “a cartoon of a dancing elephant” asks for an image. (a) False (b) True
  12. 12.True or false: “examples of every type” is good for training a model. (a) True (b) False
  13. 13.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  14. 14.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a hallucination (c) a backup (d) a summary
  15. 15.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
  16. 16.🔍 Which is the odd one out? (a) spotting a sick leaf (b) suggesting a video (c) spotting spam (d) composing a new tune
  17. 17.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  18. 18.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) suggesting a video (c) spotting spam (d) predicting rain
  19. 19.True or false: “uses rules people wrote” describes how a normal program works. (a) True (b) False
  20. 20.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) only on weekends (c) yes, just like us (d) yes, it gets sad
  21. 21.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
  22. 22.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
  23. 23.Which of these describes how a normal program works? (a) handles unseen examples (b) follows fixed rules (c) improves with more data (d) makes a best guess
  24. 24.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) gives a likely answer (d) uses rules people wrote
  25. 25.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  26. 26.📚 Usually, more good examples make a model… (a) forget everything (b) slower to switch on (c) change colour (d) better at its task
  27. 27.True or false: “ask your teacher” is a real way to check an AI answer. (a) True (b) False
  28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  29. 29.🔍 Which is the odd one out? (a) inventing a recipe (b) spotting spam (c) writing a new poem (d) drawing a new picture
  30. 30.Which of these describes how AI works? (a) one set rule per case (b) same steps every time (c) does exactly as coded (d) handles unseen examples
  31. 31.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
  32. 32.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  33. 33.Which of these is not AI? (a) a fan regulator (b) a voice assistant (c) a spam filter (d) face unlock on a phone
  34. 34.🔍 Which is the odd one out? (a) clear, sharp examples (b) testing on training data (c) checking labels twice (d) correct labels
  35. 35.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  36. 36.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  37. 37.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  38. 38.🔍 Which is the odd one out? (a) balance the data (b) check who is missing (c) ask different people (d) skip testing
  39. 39.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  40. 40.True or false: “copy old unfair choices” helps reduce bias. (a) True (b) False

Answer key

  1. spam
  2. True
  3. a fact
  4. learn from data
  5. it learns patterns
  6. True
  7. an AI chatbot
  8. False
  9. good for training
  10. AI
  11. True
  12. True
  13. bad for training
  14. a hallucination
  15. needs AI (learning)
  16. composing a new tune
  17. uses AI
  18. drafting a letter
  19. True
  20. no, it finds patterns
  21. a fact
  22. True
  23. follows fixed rules
  24. gives a likely answer
  25. sorts or predicts
  26. better at its task
  27. True
  28. reduces bias
  29. spotting spam
  30. handles unseen examples
  31. True
  32. training data
  33. a fan regulator
  34. testing on training data
  35. True
  36. True
  37. the trained program
  38. skip testing
  39. True
  40. False

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