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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 441 · 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.True or false: “a summary of chapter 3” asks for an image. (a) True (b) False
  2. 2.🤖 What does AI stand for? (a) app installer (b) actual information (c) artificial intelligence (d) automatic internet
  3. 3.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  4. 4.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) use one group only (d) ask different people
  5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  6. 6.⏩ In machine learning, which comes first: recorded spoken words or what training builds? (a) recorded spoken words (b) what training builds
  7. 7.True or false: “the trained program” is the model. (a) True (b) False
  8. 8.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
  9. 9.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI copies data patterns (d) AI can mix up numbers
  10. 10.🔍 Which is the odd one out? (a) AI knows everything (b) AI is never wrong (c) AI always checks facts (d) AI answers need checking
  11. 11.True or false: “handles unseen examples” describes how a normal program works. (a) False (b) True
  12. 12.🔍 Which is the odd one out? (a) photos grouped by face (b) voice typing (c) a map predicting traffic (d) a torch
  13. 13.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it may get it wrong (d) it will be perfect
  14. 14.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) making up a story (c) spotting a sick leaf (d) creating a cartoon
  15. 15.Which of these is good for training a model? (a) testing on training data (b) copies of one photo (c) very few examples (d) checking labels twice
  16. 16.Which of these is bad for training a model? (a) copies of one photo (b) examples of every type (c) clear, sharp examples (d) many varied examples
  17. 17.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) copy it straight away (c) check it on paper (d) never do maths
  18. 18.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
  19. 19.True or false: “new data for testing” is bad for training a model. (a) False (b) True
  20. 20.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
  21. 21.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
  22. 22.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
  23. 23.📱 What is the AI doing here: turning your spoken words into typed text? (a) generating (b) recommending (c) recognising (d) predicting
  24. 24.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  25. 25.True or false: recognising a bird from its song needs AI that learns from examples. (a) True (b) False
  26. 26.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  27. 27.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it can think (c) no, it follows rules (d) yes, it is smart
  29. 29.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) share it online (d) trust the textbook
  30. 30.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) uses magic (d) asks a person
  31. 31.True or false: “add varied examples” helps reduce bias. (a) False (b) True
  32. 32.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) check who is missing (d) skip testing
  33. 33.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
  34. 34.✅ Is this a real check of an AI answer: ask your teacher? (a) a real check (b) not a real check
  35. 35.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
  36. 36.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  37. 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  38. 38.Which of these is generative AI (it makes something new)? (a) spotting spam (b) unlocking with a face (c) inventing a recipe (d) reading number plates
  39. 39.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) True (b) False
  40. 40.Which of these uses AI? (a) a calculator (b) a torch (c) face unlock on a phone (d) a light switch

Answer key

  1. False
  2. artificial intelligence
  3. a myth
  4. use one group only
  5. not spam
  6. recorded spoken words
  7. True
  8. True
  9. AI has real feelings
  10. AI answers need checking
  11. False
  12. a torch
  13. it may get it wrong
  14. spotting a sick leaf
  15. checking labels twice
  16. copies of one photo
  17. check it on paper
  18. balanced data
  19. False
  20. True
  21. data, model, prediction
  22. True
  23. recognising
  24. makes something new
  25. True
  26. True
  27. True
  28. no, it follows rules
  29. trust the textbook
  30. predicts likely words
  31. True
  32. check who is missing
  33. its training data
  34. a real check
  35. uses AI
  36. good for training
  37. spam
  38. inventing a recipe
  39. False
  40. face unlock on a phone

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