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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 831 · 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 helps reduce bias? (a) add varied examples (b) add more of the same (c) use one group only (d) test on one group only
  2. 2.🔍 Which is the odd one out? (a) AI can make up facts (b) long answers are true (c) AI always checks facts (d) AI knows everything
  3. 3.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  4. 4.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  5. 5.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) training data (c) the model
  6. 6.Which of these is bad for training a model? (a) new data for testing (b) labels added at random (c) checking labels twice (d) correct labels
  7. 7.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  8. 8.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) a prediction (c) training data
  9. 9.Which of these is bad for training a model? (a) correct labels (b) photos in many lights (c) very few examples (d) clear, sharp examples
  10. 10.Which of these uses AI? (a) an AI chatbot (b) a calculator (c) a light switch (d) a torch
  11. 11.🔍 Which is the odd one out? (a) making up a story (b) writing quiz questions (c) turning speech to text (d) drafting a letter
  12. 12.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
  13. 13.📱 What is the AI doing here: a keyboard guessing your next word? (a) recognising (b) generating (c) predicting (d) recommending
  14. 14.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
  15. 15.True or false: “labelled fruit photos” is training data. (a) False (b) True
  16. 16.True or false: a music app suggesting a song you may like is AI predicting something. (a) False (b) True
  17. 17.Which of these is generative AI (it makes something new)? (a) making up a story (b) suggesting a video (c) reading number plates (d) turning speech to text
  18. 18.True or false: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
  19. 19.Which of these is good for training a model? (a) labels added at random (b) very few examples (c) only one kind of example (d) checking labels twice
  20. 20.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  21. 21.✨ Generative or not: drawing a new picture? (a) makes something new (b) sorts or predicts
  22. 22.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will be perfect (c) it may get it wrong (d) it will turn yellow
  23. 23.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  24. 24.🔍 Which is the odd one out? (a) spotting a sick leaf (b) composing a new tune (c) predicting rain (d) spotting spam
  25. 25.🧠 Machine learning is a way for computers to… (a) learn from data (b) charge faster (c) print pages (d) clean screens
  26. 26.🔍 Which is the odd one out? (a) many varied examples (b) checking labels twice (c) examples of every type (d) labels added at random
  27. 27.🛠️ Which does this job need: adding up the marks on a report card? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.True or false: a car camera reading a speed sign is AI recommending something. (a) True (b) False
  29. 29.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  30. 30.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
  31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  32. 32.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  33. 33.True or false: “a drum beat for a dance” asks for music or sound. (a) False (b) True
  34. 34.🏷️ 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
  35. 35.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a doorbell (c) a microwave timer (d) a map predicting traffic
  36. 36.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  37. 37.Which of these uses AI? (a) photos grouped by face (b) a stopwatch (c) a fan regulator (d) a torch
  38. 38.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) recommending (c) printing (d) cooking
  39. 39.Which of these is not AI? (a) a spam filter (b) face unlock on a phone (c) a stopwatch (d) a voice assistant
  40. 40.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI learns from data (d) AI knows everything

Answer key

  1. add varied examples
  2. AI can make up facts
  3. makes something new
  4. not AI
  5. the model
  6. labels added at random
  7. not a real check
  8. the model
  9. very few examples
  10. an AI chatbot
  11. turning speech to text
  12. makes new content
  13. predicting
  14. False
  15. True
  16. False
  17. making up a story
  18. False
  19. checking labels twice
  20. makes something new
  21. makes something new
  22. it may get it wrong
  23. a normal program
  24. composing a new tune
  25. learn from data
  26. labels added at random
  27. a simple rule is enough
  28. False
  29. True
  30. predicting
  31. not spam
  32. AI
  33. True
  34. not spam
  35. a map predicting traffic
  36. good for training
  37. photos grouped by face
  38. recommending
  39. a stopwatch
  40. AI learns from data

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