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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 546 · 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 drawing of a cat on the Moon” asks for an image. (a) False (b) True
  2. 2.🧐 Fact or myth: “AI learns from data”? (a) a myth (b) a fact
  3. 3.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  4. 4.True or false: a handwriting app shown only neat writing is one-sided data (likely to make a biased model). (a) True (b) False
  5. 5.🧮 Is a basic calculator an AI system? (a) yes, it can think (b) yes, it is smart (c) no, it follows rules (d) only at night
  6. 6.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) music or sound (b) an image (c) text
  7. 7.🔍 Which is the odd one out? (a) copies of one photo (b) clear, sharp examples (c) only one kind of example (d) wrong labels
  8. 8.🔍 Which is the odd one out? (a) a microwave timer (b) a light switch (c) a stopwatch (d) voice typing
  9. 9.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  10. 10.✅ Is this a real check of an AI answer: it has a neat layout? (a) a real check (b) not a real check
  11. 11.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  12. 12.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  13. 13.Which of these is bad for training a model? (a) very few examples (b) photos in many lights (c) new data for testing (d) many varied examples
  14. 14.True or false: “balance the data” helps reduce bias. (a) True (b) False
  15. 15.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its colour (d) its screen size
  16. 16.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
  17. 17.Which of these describes how a normal program works? (a) makes a best guess (b) handles unseen examples (c) learns from examples (d) one set rule per case
  18. 18.🔍 Which is the odd one out? (a) photos in many lights (b) testing on training data (c) very few examples (d) copies of one photo
  19. 19.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  20. 20.🔍 Which is the odd one out? (a) a stopwatch (b) a fan regulator (c) a microwave timer (d) photos grouped by face
  21. 21.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the right answer tag (c) the font size (d) the price
  22. 22.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  23. 23.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
  24. 24.🔍 Which is the odd one out? (a) copies of one photo (b) only one kind of example (c) many varied examples (d) very few examples
  25. 25.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  26. 26.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
  27. 27.Which of these describes how AI works? (a) follows fixed rules (b) same steps every time (c) uses rules people wrote (d) makes a best guess
  28. 28.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  29. 29.✍️ How does an AI chatbot write its replies? (a) asks a person (b) copies one website (c) uses magic (d) predicts likely words
  30. 30.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
  31. 31.True or false: “confident means correct” is a fact about AI. (a) False (b) True
  32. 32.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
  33. 33.🛠️ Which does this job need: finding 10% of a price? (a) needs AI (learning) (b) a simple rule is enough
  34. 34.True or false: a camera app naming the flower you point at is AI recognising something. (a) False (b) True
  35. 35.🔁 What is the right order? (a) prediction, data, model (b) data, model, prediction (c) model, prediction, data (d) data, prediction, model
  36. 36.True or false: “does exactly as coded” describes how a normal program works. (a) False (b) True
  37. 37.True or false: turning your spoken words into typed text is AI generating something new. (a) True (b) False
  38. 38.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
  39. 39.True or false: “a logo idea for the eco club” asks for an image. (a) False (b) True
  40. 40.True or false: the message “Send your password to claim a prize” should be labelled “not spam”. (a) False (b) True

Answer key

  1. True
  2. a fact
  3. bad for training
  4. True
  5. no, it follows rules
  6. an image
  7. clear, sharp examples
  8. voice typing
  9. True
  10. not a real check
  11. AI
  12. True
  13. very few examples
  14. True
  15. its training data
  16. False
  17. one set rule per case
  18. photos in many lights
  19. makes something new
  20. photos grouped by face
  21. the right answer tag
  22. True
  23. a real check
  24. many varied examples
  25. one-sided data
  26. False
  27. makes a best guess
  28. not AI
  29. predicts likely words
  30. good for training
  31. False
  32. bad for training
  33. a simple rule is enough
  34. True
  35. data, model, prediction
  36. True
  37. False
  38. makes something new
  39. True
  40. False

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