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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 425 · 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: “the trained program” is a prediction. (a) True (b) False
  2. 2.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) learns from examples (d) uses rules people wrote
  3. 3.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  4. 4.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  5. 5.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  6. 6.True or false: “past weather records” is training data. (a) True (b) False
  7. 7.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
  8. 8.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  9. 9.🤖 Who builds and trains AI systems? (a) nobody at all (b) the weather (c) people (d) the Moon
  10. 10.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) sorting photos by face (c) writing a new poem (d) composing a new tune
  11. 11.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  12. 12.True or false: ringing the school bell at 9 am needs AI that learns from examples. (a) False (b) True
  13. 13.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  14. 14.True or false: recognising a friend’s face in photos only needs a simple fixed rule. (a) False (b) True
  15. 15.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  16. 16.Which of these describes how AI works? (a) never learns from data (b) makes a best guess (c) one set rule per case (d) uses rules people wrote
  17. 17.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  18. 18.🤖 Does an AI system think and feel like a person? (a) yes, it gets sad (b) yes, just like us (c) only on weekends (d) no, it finds patterns
  19. 19.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the font size (d) the right answer tag
  20. 20.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
  21. 21.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recommending (b) predicting (c) recognising (d) generating
  22. 22.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
  23. 23.Which of these uses AI? (a) a torch (b) a printed timetable (c) photos grouped by face (d) a kitchen weighing scale
  24. 24.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  25. 25.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) an image (b) text (c) music or sound
  26. 26.🔍 Which is the odd one out? (a) composing a new tune (b) making up a story (c) suggesting a video (d) inventing a recipe
  27. 27.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  28. 28.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
  29. 29.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  30. 30.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  31. 31.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
  32. 32.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it is always right (c) it has a screen (d) it learns from examples
  33. 33.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
  34. 34.Which of these describes how AI works? (a) gives a likely answer (b) uses rules people wrote (c) does exactly as coded (d) follows fixed rules
  35. 35.🏠 AI or not AI: face unlock on a phone? (a) uses AI (b) not AI
  36. 36.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  37. 37.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) print pages (d) learn from data
  38. 38.🔍 Which is the odd one out? (a) skip testing (b) add more of the same (c) check who is missing (d) use one group only
  39. 39.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  40. 40.🧮 Which of these is NOT AI? (a) a spam filter (b) face unlock (c) a basic calculator (d) voice typing

Answer key

  1. False
  2. learns from examples
  3. adds to bias
  4. True
  5. True
  6. True
  7. a normal program
  8. AI
  9. people
  10. sorting photos by face
  11. training data
  12. False
  13. False
  14. False
  15. AI
  16. makes a best guess
  17. reduces bias
  18. no, it finds patterns
  19. the right answer tag
  20. a prediction
  21. recommending
  22. copy old unfair choices
  23. photos grouped by face
  24. good for training
  25. an image
  26. suggesting a video
  27. a simple rule is enough
  28. True
  29. spam
  30. True
  31. bad for training
  32. it learns from examples
  33. sorts or predicts
  34. gives a likely answer
  35. uses AI
  36. adds to bias
  37. learn from data
  38. check who is missing
  39. False
  40. a basic calculator

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