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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 211 · 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.⏩ In machine learning, which comes first: the learned patterns or 500 labelled leaf photos? (a) the learned patterns (b) 500 labelled leaf photos
  2. 2.True or false: “AI can be wrong” is a fact about AI. (a) False (b) True
  3. 3.🧐 Fact or myth: “AI answers need checking”? (a) a fact (b) a myth
  4. 4.Which of these uses AI? (a) a printed timetable (b) video suggestions (c) a doorbell (d) a kitchen weighing scale
  5. 5.🏠 AI or not AI: a voice assistant? (a) uses AI (b) not AI
  6. 6.📦 What happens during training? (a) it prints labels (b) it charges up (c) it learns patterns (d) it takes photos
  7. 7.Which of these is generative AI (it makes something new)? (a) predicting rain (b) writing a new poem (c) spotting a sick leaf (d) sorting photos by face
  8. 8.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
  10. 10.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
  11. 11.True or false: “copy old unfair choices” helps reduce bias. (a) False (b) True
  12. 12.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
  13. 13.True or false: voices of children and adults from many regions is one-sided data (likely to make a biased model). (a) False (b) True
  14. 14.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  15. 15.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) data, model, prediction (d) prediction, data, model
  16. 16.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  17. 17.🔍 Which is the odd one out? (a) use one group only (b) add more of the same (c) test on many groups (d) ignore complaints
  18. 18.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  19. 19.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  20. 20.🔍 Which is the odd one out? (a) only one kind of example (b) testing on training data (c) blurry, unclear photos (d) examples of every type
  21. 21.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a kitchen weighing scale (d) an app translating signs
  22. 22.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recommending (b) generating (c) recognising (d) predicting
  23. 23.True or false: “a summary of chapter 3” asks for music or sound. (a) True (b) False
  24. 24.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) only one kind of example (d) many varied examples
  25. 25.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  26. 26.True or false: “the learned patterns” is the model. (a) False (b) True
  27. 27.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) balanced data (b) one-sided data
  28. 28.🔍 Which is the odd one out? (a) AI answers need checking (b) confident means correct (c) AI learns from data (d) AI copies data patterns
  29. 29.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  31. 31.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
  32. 32.Which of these uses AI? (a) a light switch (b) a doorbell (c) a calculator (d) a voice assistant
  33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
  34. 34.🤖 AI or a normal program: which one “handles unseen examples”? (a) AI (b) a normal program
  35. 35.Which of these is good for training a model? (a) examples of every type (b) testing on training data (c) wrong labels (d) very few examples
  36. 36.🤖 What does AI stand for? (a) actual information (b) automatic internet (c) app installer (d) artificial intelligence
  37. 37.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) creating a cartoon (c) reading number plates (d) suggesting a video
  38. 38.🛠️ Does this reduce bias or add to it: test on one group only? (a) reduces bias (b) adds to bias
  39. 39.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
  40. 40.True or false: “does exactly as coded” describes how AI works. (a) True (b) False

Answer key

  1. 500 labelled leaf photos
  2. True
  3. a fact
  4. video suggestions
  5. uses AI
  6. it learns patterns
  7. writing a new poem
  8. False
  9. a basic calculator
  10. False
  11. False
  12. good for training
  13. False
  14. uses AI
  15. data, model, prediction
  16. reduces bias
  17. test on many groups
  18. reduces bias
  19. a normal program
  20. examples of every type
  21. a kitchen weighing scale
  22. generating
  23. False
  24. many varied examples
  25. a normal program
  26. True
  27. balanced data
  28. confident means correct
  29. a prediction
  30. reduces bias
  31. bad for training
  32. a voice assistant
  33. a prediction
  34. AI
  35. examples of every type
  36. artificial intelligence
  37. creating a cartoon
  38. adds to bias
  39. True
  40. False

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