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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 300 · 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 myth about AI? (a) AI copies data patterns (b) AI answers need checking (c) AI learns from data (d) AI is never wrong
  2. 2.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
  3. 3.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  4. 4.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  5. 5.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
  6. 6.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  7. 7.Which of these uses AI? (a) a kitchen weighing scale (b) a digital watch (c) an image generator (d) a microwave timer
  8. 8.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
  9. 9.🔍 Which is the odd one out? (a) AI answers need checking (b) AI can mix up numbers (c) AI copies data patterns (d) confident means correct
  10. 10.True or false: “correct labels” is good for training a model. (a) True (b) False
  11. 11.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
  12. 12.True or false: “labelled fruit photos” is the model. (a) True (b) False
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
  14. 14.True or false: “long answers are true” is a fact about AI. (a) False (b) True
  15. 15.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  16. 16.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the right answer tag (d) the font size
  17. 17.🔍 Which is the odd one out? (a) copy old unfair choices (b) ignore complaints (c) skip testing (d) test on many groups
  18. 18.True or false: “same steps every time” describes how AI works. (a) True (b) False
  19. 19.🛠️ Which does this job need: recognising a bird from its song? (a) needs AI (learning) (b) a simple rule is enough
  20. 20.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) music or sound (b) an image (c) text
  21. 21.Which of these describes how a normal program works? (a) uses rules people wrote (b) improves with more data (c) handles unseen examples (d) spots patterns in data
  22. 22.True or false: “what training builds” is a prediction. (a) True (b) False
  23. 23.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  24. 24.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  25. 25.True or false: “500 labelled leaf photos” is the model. (a) False (b) True
  26. 26.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  27. 27.📺 A video app suggests what to watch next. What is the AI doing? (a) cooking (b) recommending (c) charging (d) printing
  28. 28.Which of these is not AI? (a) an app translating signs (b) video suggestions (c) face unlock on a phone (d) a stopwatch
  29. 29.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  30. 30.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  31. 31.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
  32. 32.Which of these describes how a normal program works? (a) gives a likely answer (b) spots patterns in data (c) makes a best guess (d) never learns from data
  33. 33.True or false: “AI can be wrong” is a fact about AI. (a) True (b) False
  34. 34.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
  35. 35.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  36. 36.Which of these describes how AI works? (a) never learns from data (b) learns from examples (c) does exactly as coded (d) one set rule per case
  37. 37.🔍 Which is the odd one out? (a) labels added at random (b) very few examples (c) only one kind of example (d) checking labels twice
  38. 38.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) False (b) True
  39. 39.True or false: “photos in many lights” is bad for training a model. (a) True (b) False
  40. 40.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) ask different people (d) use one group only

Answer key

  1. AI is never wrong
  2. False
  3. True
  4. makes something new
  5. learn from data
  6. the trained program
  7. an image generator
  8. False
  9. confident means correct
  10. True
  11. True
  12. False
  13. not spam
  14. False
  15. not AI
  16. the right answer tag
  17. test on many groups
  18. False
  19. needs AI (learning)
  20. text
  21. uses rules people wrote
  22. False
  23. makes something new
  24. True
  25. False
  26. good for training
  27. recommending
  28. a stopwatch
  29. makes something new
  30. no, it can be wrong
  31. makes new content
  32. never learns from data
  33. True
  34. a simple rule is enough
  35. data, model, prediction
  36. learns from examples
  37. checking labels twice
  38. False
  39. False
  40. ask different people

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