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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 401 · 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 is training data? (a) old emails marked spam (b) the learned patterns (c) flagging a new email (d) naming a new leaf
  2. 2.True or false: “handles unseen examples” describes how a normal program works. (a) True (b) False
  3. 3.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  4. 4.True or false: counting the words in an essay needs AI that learns from examples. (a) False (b) True
  5. 5.✨ What does generative AI do? (a) only adds numbers (b) only stores files (c) charges batteries (d) makes new content
  6. 6.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) False (b) True
  7. 7.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  8. 8.True or false: “testing on training data” is good for training a model. (a) True (b) False
  9. 9.Which of these describes how AI works? (a) spots patterns in data (b) does exactly as coded (c) follows fixed rules (d) never learns from data
  10. 10.🔍 Which is the odd one out? (a) photos grouped by face (b) a spam filter (c) face unlock on a phone (d) a torch
  11. 11.🔍 Which is the odd one out? (a) add more of the same (b) use one group only (c) ignore complaints (d) fix wrong labels
  12. 12.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) True (b) False
  13. 13.Which of these uses AI? (a) a digital watch (b) a light switch (c) a calculator (d) face unlock on a phone
  14. 14.Which of these helps reduce bias? (a) use one group only (b) test on many groups (c) add more of the same (d) copy old unfair choices
  15. 15.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  16. 16.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) cooking (c) recommending (d) charging
  17. 17.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  18. 18.Which of these is training data? (a) 500 labelled leaf photos (b) what training builds (c) the learned patterns (d) the trained program
  19. 19.🔍 Which is the odd one out? (a) drafting a letter (b) spotting spam (c) predicting rain (d) unlocking with a face
  20. 20.Which of these describes how a normal program works? (a) gives a likely answer (b) follows fixed rules (c) makes a best guess (d) learns from examples
  21. 21.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI answers need checking (c) AI can mix up numbers (d) AI is never wrong
  22. 22.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
  23. 23.📦 What happens during training? (a) it charges up (b) it prints labels (c) it takes photos (d) it learns patterns
  24. 24.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  25. 25.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  26. 26.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) True (b) False
  27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  28. 28.True or false: “500 labelled leaf photos” is training data. (a) False (b) True
  29. 29.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  30. 30.Which of these is a prediction? (a) the learned patterns (b) past weather records (c) flagging a new email (d) labelled fruit photos
  31. 31.🔍 Which is the odd one out? (a) many varied examples (b) copies of one photo (c) wrong labels (d) blurry, unclear photos
  32. 32.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  33. 33.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  35. 35.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  36. 36.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  37. 37.True or false: “labelled fruit photos” is training data. (a) True (b) False
  38. 38.True or false: “a story about a brave ant” asks for text. (a) False (b) True
  39. 39.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) recognising (c) predicting (d) generating
  40. 40.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False

Answer key

  1. old emails marked spam
  2. False
  3. sorts or predicts
  4. False
  5. makes new content
  6. False
  7. makes something new
  8. False
  9. spots patterns in data
  10. a torch
  11. fix wrong labels
  12. True
  13. face unlock on a phone
  14. test on many groups
  15. False
  16. recommending
  17. training data
  18. 500 labelled leaf photos
  19. drafting a letter
  20. follows fixed rules
  21. AI is never wrong
  22. training data
  23. it learns patterns
  24. a fact
  25. sorts or predicts
  26. True
  27. training data
  28. True
  29. a normal program
  30. flagging a new email
  31. many varied examples
  32. bad for training
  33. no, check it anyway
  34. one-sided data
  35. a prediction
  36. one-sided data
  37. True
  38. True
  39. predicting
  40. False

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