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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 523 · 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.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) False (b) True
  2. 2.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  3. 3.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  4. 4.🏷️ 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
  5. 5.True or false: “the learned patterns” is the model. (a) False (b) True
  6. 6.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
  7. 7.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  8. 8.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  9. 9.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  10. 10.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
  11. 11.True or false: adding up the marks on a report card needs AI that learns from examples. (a) False (b) True
  12. 12.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it has a screen (d) it is always right
  13. 13.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
  14. 14.Which of these uses AI? (a) a microwave timer (b) a fan regulator (c) a digital watch (d) photos grouped by face
  15. 15.Which of these describes how AI works? (a) one set rule per case (b) does exactly as coded (c) never learns from data (d) spots patterns in data
  16. 16.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  17. 17.🔍 Which is the odd one out? (a) unlocking with a face (b) sorting photos by face (c) composing a new tune (d) reading number plates
  18. 18.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) typing a new spoken word (d) flagging a new email
  19. 19.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  20. 20.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
  21. 21.🔍 Which is the odd one out? (a) an AI chatbot (b) voice typing (c) a fan regulator (d) photos grouped by face
  22. 22.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
  23. 23.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  24. 24.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) True (b) False
  25. 25.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
  26. 26.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
  27. 27.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
  28. 28.🤖 What does AI stand for? (a) automatic internet (b) artificial intelligence (c) app installer (d) actual information
  29. 29.True or false: “AI always checks facts” is a fact about AI. (a) True (b) False
  30. 30.Which of these describes how AI works? (a) same steps every time (b) does exactly as coded (c) uses rules people wrote (d) improves with more data
  31. 31.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
  32. 32.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI can mix up numbers (d) confident means correct
  33. 33.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  34. 34.🏠 AI or not AI: an AI chatbot? (a) uses AI (b) not AI
  35. 35.Which of these uses AI? (a) a digital watch (b) a stopwatch (c) a doorbell (d) a map predicting traffic
  36. 36.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
  37. 37.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) check who is missing (d) test on one group only
  38. 38.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  39. 39.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.Which of these is good for training a model? (a) only one kind of example (b) testing on training data (c) checking labels twice (d) wrong labels

Answer key

  1. True
  2. good for training
  3. it learns patterns
  4. not spam
  5. True
  6. to see if it works
  7. its training data
  8. bad for training
  9. not spam
  10. bad for training
  11. False
  12. it learns from examples
  13. no, it follows rules
  14. photos grouped by face
  15. spots patterns in data
  16. good for training
  17. composing a new tune
  18. what training builds
  19. False
  20. AI
  21. a fan regulator
  22. True
  23. False
  24. False
  25. a prediction
  26. False
  27. spam
  28. artificial intelligence
  29. False
  30. improves with more data
  31. makes something new
  32. confident means correct
  33. balanced data
  34. uses AI
  35. a map predicting traffic
  36. text
  37. test on one group only
  38. data, model, prediction
  39. needs AI (learning)
  40. checking labels twice

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