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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 491 · 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.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  2. 2.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the font size (c) the right answer tag (d) the price
  3. 3.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
  4. 4.True or false: “tomorrow’s rain guess” is training data. (a) True (b) False
  5. 5.Which of these adds to bias? (a) fix wrong labels (b) check who is missing (c) ask different people (d) use one group only
  6. 6.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  7. 7.Which of these is a myth about AI? (a) AI answers need checking (b) AI has real feelings (c) AI can make up facts (d) AI learns from data
  8. 8.True or false: “copies of one photo” is bad for training a model. (a) False (b) True
  9. 9.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) the model (c) training data
  10. 10.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  11. 11.🔍 Which is the odd one out? (a) face unlock on a phone (b) an app translating signs (c) photos grouped by face (d) a torch
  12. 12.Which of these describes how a normal program works? (a) makes a best guess (b) spots patterns in data (c) follows fixed rules (d) gives a likely answer
  13. 13.🔍 Which is the odd one out? (a) predicting rain (b) creating a cartoon (c) drawing a new picture (d) drafting a letter
  14. 14.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  15. 15.True or false: “long answers are true” is a myth about AI. (a) True (b) False
  16. 16.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  17. 17.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) naming a new leaf (d) recorded spoken words
  18. 18.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) very few examples (d) copies of one photo
  19. 19.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) text (b) music or sound (c) an image
  20. 20.Which of these is bad for training a model? (a) checking labels twice (b) correct labels (c) many varied examples (d) blurry, unclear photos
  21. 21.True or false: “past weather records” is training data. (a) False (b) True
  22. 22.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
  23. 23.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
  24. 24.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  25. 25.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) same steps every time (d) handles unseen examples
  26. 26.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  27. 27.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
  28. 28.Which of these uses AI? (a) a fan regulator (b) a stopwatch (c) an image generator (d) a torch
  29. 29.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) ignore complaints (d) test on one group only
  30. 30.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) a prediction (c) the model
  31. 31.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) text (b) music or sound (c) an image
  32. 32.True or false: “add more of the same” adds to bias. (a) True (b) False
  33. 33.🔍 Which is the odd one out? (a) AI can mix up numbers (b) AI answers need checking (c) AI can be wrong (d) AI always checks facts
  34. 34.⏩ In machine learning, which comes first: recorded spoken words or the learned patterns? (a) recorded spoken words (b) the learned patterns
  35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  36. 36.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  37. 37.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) False (b) True
  38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  39. 39.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  40. 40.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night

Answer key

  1. a fact
  2. the right answer tag
  3. False
  4. False
  5. use one group only
  6. False
  7. AI has real feelings
  8. True
  9. a prediction
  10. False
  11. a torch
  12. follows fixed rules
  13. predicting rain
  14. makes something new
  15. True
  16. not AI
  17. naming a new leaf
  18. correct labels
  19. music or sound
  20. blurry, unclear photos
  21. True
  22. a prompt
  23. not AI
  24. True
  25. handles unseen examples
  26. needs AI (learning)
  27. True
  28. an image generator
  29. check who is missing
  30. training data
  31. an image
  32. True
  33. AI always checks facts
  34. recorded spoken words
  35. the model
  36. bad for training
  37. False
  38. not spam
  39. False
  40. no, it follows rules

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