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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 700 · 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 is the odd one out? (a) only one kind of example (b) clear, sharp examples (c) testing on training data (d) labels added at random
  2. 2.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
  3. 3.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) uses rules people wrote (d) makes a best guess
  4. 4.True or false: adding up the marks on a report card needs AI that learns from examples. (a) True (b) False
  5. 5.True or false: a music app suggesting a song you may like is AI recognising something. (a) True (b) False
  6. 6.Which of these uses AI? (a) a printed timetable (b) a stopwatch (c) a fan regulator (d) an image generator
  7. 7.🔍 Which is the odd one out? (a) a light switch (b) an app translating signs (c) a calculator (d) a kitchen weighing scale
  8. 8.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  9. 9.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  10. 10.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI answers need checking (d) AI is never wrong
  11. 11.True or false: showing the time on a clock only needs a simple fixed rule. (a) False (b) True
  12. 12.Which of these is training data? (a) what training builds (b) 500 labelled leaf photos (c) typing a new spoken word (d) the trained program
  13. 13.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
  14. 14.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  15. 15.🔍 Which is the odd one out? (a) writing a new poem (b) spotting spam (c) suggesting a video (d) reading number plates
  16. 16.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  17. 17.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) suggesting a video (c) spotting a sick leaf (d) spotting spam
  18. 18.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  19. 19.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
  20. 20.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) music or sound (c) text
  21. 21.Which of these is AI that sorts, spots or predicts (not generative)? (a) drafting a letter (b) writing a new poem (c) spotting a sick leaf (d) inventing a recipe
  22. 22.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
  23. 23.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  24. 24.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) wrong labels (d) photos in many lights
  25. 25.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) text (b) an image (c) music or sound
  26. 26.True or false: turning spoken words into typed text needs AI that learns from examples. (a) False (b) True
  27. 27.✨ What does generative AI do? (a) makes new content (b) only stores files (c) only adds numbers (d) charges batteries
  28. 28.True or false: showing the time on a clock needs AI that learns from examples. (a) False (b) True
  29. 29.🔍 Which is the odd one out? (a) fix wrong labels (b) skip testing (c) test on many groups (d) add varied examples
  30. 30.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) False (b) True
  31. 31.True or false: the message “Send your password to claim a prize” should be labelled “spam”. (a) False (b) True
  32. 32.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
  34. 34.🏠 AI or not AI: photos grouped by face? (a) not AI (b) uses AI
  35. 35.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
  36. 36.✨ Is everything a generative AI makes true? (a) yes, always (b) no, it can be wrong (c) only on Mondays
  37. 37.True or false: “many varied examples” is bad for training a model. (a) False (b) True
  38. 38.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  39. 39.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) text (b) an image (c) music or sound
  40. 40.Which of these uses AI? (a) face unlock on a phone (b) a stopwatch (c) a calculator (d) a light switch

Answer key

  1. clear, sharp examples
  2. recommending
  3. uses rules people wrote
  4. False
  5. False
  6. an image generator
  7. an app translating signs
  8. a simple rule is enough
  9. AI
  10. AI is never wrong
  11. True
  12. 500 labelled leaf photos
  13. a prediction
  14. a real check
  15. writing a new poem
  16. balanced data
  17. inventing a recipe
  18. more varied data
  19. the learned patterns
  20. music or sound
  21. spotting a sick leaf
  22. the learned patterns
  23. not AI
  24. photos in many lights
  25. text
  26. True
  27. makes new content
  28. False
  29. skip testing
  30. False
  31. True
  32. needs AI (learning)
  33. a prediction
  34. uses AI
  35. makes something new
  36. no, it can be wrong
  37. False
  38. sorts or predicts
  39. text
  40. face unlock on a phone

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