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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 209 · 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.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  2. 2.True or false: “a picture of a castle made of mangoes” asks for text. (a) False (b) True
  3. 3.Which of these describes how AI works? (a) learns from examples (b) never learns from data (c) does exactly as coded (d) uses rules people wrote
  4. 4.True or false: a shop guessing how many umbrellas will sell is AI recognising something. (a) False (b) True
  5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  6. 6.True or false: a shop guessing how many umbrellas will sell is AI predicting something. (a) True (b) False
  7. 7.True or false: “gives a likely answer” describes how a normal program works. (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) skip testing (d) balance the data
  9. 9.Which of these uses AI? (a) a map predicting traffic (b) a calculator (c) a microwave timer (d) a digital watch
  10. 10.True or false: “the learned patterns” is the model. (a) False (b) True
  11. 11.🏠 AI or not AI: a printed timetable? (a) uses AI (b) not AI
  12. 12.🤖 AI or a normal program: which one “learns from examples”? (a) a normal program (b) AI
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
  14. 14.🤖 AI or a normal program: which one “follows fixed rules”? (a) AI (b) a normal program
  15. 15.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  16. 16.True or false: “new data for testing” is good for training a model. (a) True (b) False
  17. 17.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  18. 18.Which of these is training data? (a) tomorrow’s rain guess (b) the learned patterns (c) recorded spoken words (d) typing a new spoken word
  19. 19.🤖 AI or a normal program: which one “spots patterns in data”? (a) AI (b) a normal program
  20. 20.Which of these is generative AI (it makes something new)? (a) reading number plates (b) drawing a new picture (c) turning speech to text (d) spotting spam
  21. 21.Which of these adds to bias? (a) add varied examples (b) check who is missing (c) fix wrong labels (d) copy old unfair choices
  22. 22.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
  23. 23.🧐 Fact or myth: “AI is never wrong”? (a) a fact (b) a myth
  24. 24.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
  25. 25.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) predicting (c) drawing (d) sleeping
  26. 26.✨ Generative or not: composing a new tune? (a) sorts or predicts (b) makes something new
  27. 27.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) copy old unfair choices (d) ask different people
  28. 28.True or false: “redo the maths yourself” is a real way to check an AI answer. (a) False (b) True
  29. 29.True or false: “a soft lullaby melody” asks for an image. (a) False (b) True
  30. 30.True or false: an AI tool making a brand-new tune is AI generating something new. (a) False (b) True
  31. 31.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  32. 32.Which of these is bad for training a model? (a) checking labels twice (b) wrong labels (c) photos in many lights (d) new data for testing
  33. 33.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  34. 34.Which of these helps reduce bias? (a) check who is missing (b) use one group only (c) ignore complaints (d) test on one group only
  35. 35.🧐 Fact or myth: “AI can make up facts”? (a) a myth (b) a fact
  36. 36.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  37. 37.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
  38. 38.🔁 Training data, the model or a prediction: “what training builds”? (a) a prediction (b) the model (c) training data
  39. 39.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
  40. 40.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training

Answer key

  1. one-sided data
  2. False
  3. learns from examples
  4. False
  5. few child voices in data
  6. True
  7. False
  8. skip testing
  9. a map predicting traffic
  10. True
  11. not AI
  12. AI
  13. not spam
  14. a normal program
  15. True
  16. True
  17. a myth
  18. recorded spoken words
  19. AI
  20. drawing a new picture
  21. copy old unfair choices
  22. no, it finds patterns
  23. a myth
  24. a hallucination
  25. predicting
  26. makes something new
  27. copy old unfair choices
  28. True
  29. False
  30. True
  31. False
  32. wrong labels
  33. False
  34. check who is missing
  35. a fact
  36. a fact
  37. AI
  38. the model
  39. a simple rule is enough
  40. good for training

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