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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 884 · 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.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  2. 2.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) asks a person (c) copies one website (d) uses magic
  3. 3.🗣️ A voice app understands adults but not children. What is the likely reason? (a) it was a rainy day (b) few child voices in data (c) the phone was new (d) children speak too fast
  4. 4.True or false: “AI can mix up numbers” is a fact about AI. (a) False (b) True
  5. 5.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) learns from examples (d) uses rules people wrote
  6. 6.Which of these is not AI? (a) an AI chatbot (b) voice typing (c) a map predicting traffic (d) a calculator
  7. 7.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  8. 8.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  9. 9.🔁 What is the right order? (a) data, model, prediction (b) model, prediction, data (c) prediction, data, model (d) data, prediction, model
  10. 10.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  11. 11.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  12. 12.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
  14. 14.True or false: “what training builds” is a prediction. (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) an AI chatbot (b) photos grouped by face (c) video suggestions (d) a printed timetable
  16. 16.True or false: “ignore complaints” helps reduce bias. (a) False (b) True
  17. 17.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
  18. 18.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
  19. 19.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) text (c) an image
  20. 20.Which of these is not AI? (a) a map predicting traffic (b) photos grouped by face (c) face unlock on a phone (d) a printed timetable
  21. 21.Which of these is the model? (a) what training builds (b) flagging a new email (c) 500 labelled leaf photos (d) past weather records
  22. 22.✅ Is this a real check of an AI answer: match it to the textbook? (a) not a real check (b) a real check
  23. 23.True or false: “try the sum on paper” is a real way to check an AI answer. (a) True (b) False
  24. 24.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
  25. 25.🔍 Which is the odd one out? (a) spotting a sick leaf (b) inventing a recipe (c) writing quiz questions (d) drafting a letter
  26. 26.True or false: “check who is missing” adds to bias. (a) False (b) True
  27. 27.Which of these describes how a normal program works? (a) learns from examples (b) spots patterns in data (c) makes a best guess (d) follows fixed rules
  28. 28.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  29. 29.True or false: “it answered quickly” is a real way to check an AI answer. (a) True (b) False
  30. 30.🔍 Which is the odd one out? (a) AI always checks facts (b) AI learns from data (c) AI answers need checking (d) AI copies data patterns
  31. 31.🔍 Which is the odd one out? (a) predicting rain (b) making up a story (c) unlocking with a face (d) suggesting a video
  32. 32.🔍 Which is the odd one out? (a) a stopwatch (b) face unlock on a phone (c) a voice assistant (d) an AI chatbot
  33. 33.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  34. 34.True or false: “past weather records” is a prediction. (a) True (b) False
  35. 35.Which of these is a prediction? (a) past weather records (b) typing a new spoken word (c) old emails marked spam (d) recorded spoken words
  36. 36.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
  37. 37.Which of these is a fact about AI? (a) AI is never wrong (b) AI copies data patterns (c) AI has real feelings (d) AI always checks facts
  38. 38.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  39. 39.Which of these helps reduce bias? (a) use one group only (b) copy old unfair choices (c) fix wrong labels (d) ignore complaints
  40. 40.📚 Usually, more good examples make a model… (a) change colour (b) slower to switch on (c) forget everything (d) better at its task

Answer key

  1. makes something new
  2. predicts likely words
  3. few child voices in data
  4. True
  5. uses rules people wrote
  6. a calculator
  7. not AI
  8. needs AI (learning)
  9. data, model, prediction
  10. a normal program
  11. bias from data
  12. needs AI (learning)
  13. a prediction
  14. False
  15. a printed timetable
  16. False
  17. False
  18. balanced data
  19. an image
  20. a printed timetable
  21. what training builds
  22. a real check
  23. True
  24. False
  25. spotting a sick leaf
  26. False
  27. follows fixed rules
  28. not a real check
  29. False
  30. AI always checks facts
  31. making up a story
  32. a stopwatch
  33. no, it can be wrong
  34. False
  35. typing a new spoken word
  36. text
  37. AI copies data patterns
  38. labelled fruit photos
  39. fix wrong labels
  40. better at its task

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