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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 759 · 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: flagging a new email or the trained program? (a) flagging a new email (b) the trained program
  2. 2.🔍 Which is the odd one out? (a) spotting a sick leaf (b) drafting a letter (c) drawing a new picture (d) inventing a recipe
  3. 3.🔍 Which is the odd one out? (a) an image generator (b) voice typing (c) a map predicting traffic (d) a printed timetable
  4. 4.🎨 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
  5. 5.🔍 Which is the odd one out? (a) composing a new tune (b) making up a story (c) sorting photos by face (d) writing quiz questions
  6. 6.Which of these is not AI? (a) an app translating signs (b) a voice assistant (c) face unlock on a phone (d) a calculator
  7. 7.Which of these describes how a normal program works? (a) spots patterns in data (b) makes a best guess (c) improves with more data (d) does exactly as coded
  8. 8.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
  9. 9.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  10. 10.🔍 Which is the odd one out? (a) photos grouped by face (b) a light switch (c) voice typing (d) video suggestions
  11. 11.True or false: “a cheerful tune for Sports Day” asks for text. (a) True (b) False
  12. 12.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
  13. 13.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
  14. 14.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  15. 15.🔍 Which is the odd one out? (a) AI copies data patterns (b) AI learns from data (c) AI can make up facts (d) AI has real feelings
  16. 16.🔍 Which is the odd one out? (a) a light switch (b) a fan regulator (c) a kitchen weighing scale (d) video suggestions
  17. 17.Which of these describes how a normal program works? (a) learns from examples (b) gives a likely answer (c) follows fixed rules (d) handles unseen examples
  18. 18.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  19. 19.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  20. 20.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  21. 21.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the textbook (d) trust the AI
  22. 22.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) a prediction (c) the model
  23. 23.True or false: the message “Match practice moved to 5 pm” should be labelled “spam”. (a) False (b) True
  24. 24.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
  25. 25.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) False (b) True
  26. 26.Which of these describes how AI works? (a) does exactly as coded (b) same steps every time (c) spots patterns in data (d) never learns from data
  27. 27.🔍 Which is the odd one out? (a) add more of the same (b) ignore complaints (c) copy old unfair choices (d) check who is missing
  28. 28.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  29. 29.Which of these helps reduce bias? (a) add more of the same (b) copy old unfair choices (c) add varied examples (d) test on one group only
  30. 30.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) True (b) False
  31. 31.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  32. 32.🔁 Training data, the model or a prediction: “the trained program”? (a) a prediction (b) the model (c) training data
  33. 33.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
  34. 34.🏠 AI or not AI: voice typing? (a) not AI (b) uses AI
  35. 35.True or false: “past weather records” is the model. (a) False (b) True
  36. 36.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  37. 37.Which of these is bad for training a model? (a) correct labels (b) very few examples (c) clear, sharp examples (d) many varied examples
  38. 38.True or false: “AI learns from data” is a myth about AI. (a) True (b) False
  39. 39.🔍 Which is the odd one out? (a) writing a new poem (b) writing quiz questions (c) drawing a new picture (d) suggesting a video
  40. 40.True or false: turning spoken words into typed text only needs a simple fixed rule. (a) False (b) True

Answer key

  1. the trained program
  2. spotting a sick leaf
  3. a printed timetable
  4. an image
  5. sorting photos by face
  6. a calculator
  7. does exactly as coded
  8. uses AI
  9. not a real check
  10. a light switch
  11. False
  12. predicts likely words
  13. False
  14. False
  15. AI has real feelings
  16. video suggestions
  17. follows fixed rules
  18. makes something new
  19. AI
  20. bad for training
  21. trust the textbook
  22. the model
  23. False
  24. a basic calculator
  25. True
  26. spots patterns in data
  27. check who is missing
  28. reduces bias
  29. add varied examples
  30. False
  31. a normal program
  32. the model
  33. the learned patterns
  34. uses AI
  35. False
  36. AI
  37. very few examples
  38. False
  39. suggesting a video
  40. False

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