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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 4 · 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 does this job need: turning spoken words into typed text? (a) a simple rule is enough (b) needs AI (learning)
  2. 2.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  3. 3.True or false: an AI chatbot writing a story about a lost kite is AI generating something new. (a) True (b) False
  4. 4.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) copies one website (d) asks a person
  5. 5.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  6. 6.True or false: “never learns from data” describes how AI works. (a) False (b) True
  7. 7.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) turning speech to text (c) inventing a recipe (d) creating a cartoon
  8. 8.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  9. 9.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can mix up numbers (c) AI answers need checking (d) AI can be wrong
  10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) creating a cartoon (c) writing a new poem (d) unlocking with a face
  11. 11.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  12. 12.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
  14. 14.True or false: “uses rules people wrote” describes how AI works. (a) True (b) False
  15. 15.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) copy it straight away (d) never do maths
  16. 16.True or false: “AI has real feelings” is a fact about AI. (a) True (b) False
  17. 17.True or false: “ask different people” adds to bias. (a) True (b) False
  18. 18.Which of these is bad for training a model? (a) correct labels (b) new data for testing (c) labels added at random (d) photos in many lights
  19. 19.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  20. 20.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  21. 21.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) print pages (d) charge faster
  22. 22.💬 What do we call the request you type to a generative AI? (a) a password (b) a prompt (c) a label (d) a battery
  23. 23.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  24. 24.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  25. 25.True or false: “AI has real feelings” is a myth about AI. (a) False (b) True
  26. 26.Which of these describes how AI works? (a) spots patterns in data (b) uses rules people wrote (c) does exactly as coded (d) follows fixed rules
  27. 27.True or false: “balance the data” helps reduce bias. (a) True (b) False
  28. 28.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  29. 29.🔍 Which is the odd one out? (a) a map predicting traffic (b) a calculator (c) a printed timetable (d) a stopwatch
  30. 30.🔍 Which is the odd one out? (a) spotting a sick leaf (b) writing quiz questions (c) drawing a new picture (d) inventing a recipe
  31. 31.True or false: “five quiz questions on fractions” asks for text. (a) True (b) False
  32. 32.Which of these uses AI? (a) a kitchen weighing scale (b) a torch (c) a map predicting traffic (d) a light switch
  33. 33.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  34. 34.Which of these adds to bias? (a) balance the data (b) add more of the same (c) fix wrong labels (d) test on many groups
  35. 35.Which of these is the model? (a) what training builds (b) naming a new fruit photo (c) recorded spoken words (d) old emails marked spam
  36. 36.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  37. 37.True or false: “the trained program” is a prediction. (a) False (b) True
  38. 38.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  39. 39.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) labelled fruit photos (d) naming a new leaf
  40. 40.True or false: “AI answers need checking” is a myth about AI. (a) False (b) True

Answer key

  1. needs AI (learning)
  2. False
  3. True
  4. predicts likely words
  5. a simple rule is enough
  6. False
  7. turning speech to text
  8. balanced data
  9. AI is never wrong
  10. unlocking with a face
  11. uses AI
  12. bad for training
  13. not spam
  14. False
  15. check it on paper
  16. False
  17. False
  18. labels added at random
  19. training data
  20. False
  21. learn from data
  22. a prompt
  23. bad for training
  24. adds to bias
  25. True
  26. spots patterns in data
  27. True
  28. a normal program
  29. a map predicting traffic
  30. spotting a sick leaf
  31. True
  32. a map predicting traffic
  33. makes something new
  34. add more of the same
  35. what training builds
  36. False
  37. False
  38. not AI
  39. naming a new leaf
  40. False

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