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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 971 · 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 is a fact about AI? (a) AI learns from data (b) long answers are true (c) AI is never wrong (d) AI has real feelings
  2. 2.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  3. 3.🧠 Machine learning is a way for computers to… (a) charge faster (b) learn from data (c) clean screens (d) print pages
  4. 4.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  5. 5.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
  6. 6.Which of these adds to bias? (a) check who is missing (b) add varied examples (c) copy old unfair choices (d) fix wrong labels
  7. 7.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) generating (b) recommending (c) predicting (d) recognising
  8. 8.🧐 Fact or myth: “confident means correct”? (a) a myth (b) a fact
  9. 9.🔍 Which is the odd one out? (a) test on many groups (b) add varied examples (c) fix wrong labels (d) skip testing
  10. 10.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  11. 11.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) voice typing (d) face unlock
  12. 12.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  13. 13.True or false: “what training builds” is the model. (a) False (b) True
  14. 14.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  15. 15.🔮 A trained model sees a new photo and says “mango”. This is… (a) training data (b) a password (c) a prediction (d) a label error
  16. 16.Which of these is generative AI (it makes something new)? (a) spotting spam (b) spotting a sick leaf (c) composing a new tune (d) predicting rain
  17. 17.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  18. 18.🛠️ Which does this job need: converting metres into centimetres? (a) needs AI (learning) (b) a simple rule is enough
  19. 19.🔍 Which is the odd one out? (a) fix wrong labels (b) balance the data (c) use one group only (d) add varied examples
  20. 20.🔍 Which is the odd one out? (a) spotting a sick leaf (b) composing a new tune (c) drawing a new picture (d) making up a story
  21. 21.True or false: “old emails marked spam” is training data. (a) False (b) True
  22. 22.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  23. 23.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  24. 24.Which of these is not AI? (a) face unlock on a phone (b) an app translating signs (c) a light switch (d) voice typing
  25. 25.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  26. 26.True or false: “examples of every type” is bad for training a model. (a) True (b) False
  27. 27.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) examples of every type (b) wrong labels (c) new data for testing (d) correct labels
  29. 29.Which of these describes how a normal program works? (a) spots patterns in data (b) handles unseen examples (c) one set rule per case (d) learns from examples
  30. 30.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
  31. 31.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
  32. 32.True or false: “does exactly as coded” describes how a normal program works. (a) True (b) False
  33. 33.🏠 AI or not AI: photos grouped by face? (a) uses AI (b) not AI
  34. 34.True or false: “makes a best guess” describes how AI works. (a) True (b) False
  35. 35.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) text (c) music or sound
  36. 36.✨ What does generative AI do? (a) only stores files (b) makes new content (c) only adds numbers (d) charges batteries
  37. 37.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  38. 38.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) a phone number (d) your password
  39. 39.🔍 Which is the odd one out? (a) very few examples (b) labels added at random (c) checking labels twice (d) wrong labels
  40. 40.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data

Answer key

  1. AI learns from data
  2. to see if it works
  3. learn from data
  4. False
  5. bad for training
  6. copy old unfair choices
  7. recognising
  8. a myth
  9. skip testing
  10. adds to bias
  11. a basic calculator
  12. good for training
  13. True
  14. makes something new
  15. a prediction
  16. composing a new tune
  17. data, model, prediction
  18. a simple rule is enough
  19. use one group only
  20. spotting a sick leaf
  21. True
  22. what training builds
  23. a fact
  24. a light switch
  25. needs AI (learning)
  26. False
  27. False
  28. wrong labels
  29. one set rule per case
  30. it learns patterns
  31. True
  32. True
  33. uses AI
  34. True
  35. text
  36. makes new content
  37. True
  38. a text description
  39. checking labels twice
  40. one-sided data

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