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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 763 · 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.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) recognising (d) generating
  2. 2.Which of these is a fact about AI? (a) confident means correct (b) long answers are true (c) AI learns from data (d) AI always checks facts
  3. 3.Which of these is a myth about AI? (a) AI can make up facts (b) AI can mix up numbers (c) AI answers need checking (d) long answers are true
  4. 4.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  5. 5.Which of these is bad for training a model? (a) examples of every type (b) clear, sharp examples (c) wrong labels (d) many varied examples
  6. 6.🏠 AI or not AI: video suggestions? (a) uses AI (b) not AI
  7. 7.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
  8. 8.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) ask it to hurry (d) check it on paper
  9. 9.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) only on weekends (d) yes, just like us
  10. 10.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it learns from examples (c) it is always right (d) it uses electricity
  11. 11.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  12. 12.🔍 Which is the odd one out? (a) a torch (b) a fan regulator (c) an image generator (d) a kitchen weighing scale
  13. 13.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) sorting photos by face (c) inventing a recipe (d) drawing a new picture
  14. 14.Which of these is a prediction? (a) the learned patterns (b) the trained program (c) old emails marked spam (d) tomorrow’s rain guess
  15. 15.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  16. 16.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  17. 17.🔍 Which is the odd one out? (a) making up a story (b) reading number plates (c) unlocking with a face (d) suggesting a video
  18. 18.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  19. 19.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) music or sound (b) text (c) an image
  20. 20.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
  21. 21.📦 What happens during training? (a) it takes photos (b) it learns patterns (c) it prints labels (d) it charges up
  22. 22.Which of these is a fact about AI? (a) AI always checks facts (b) AI knows everything (c) AI can make up facts (d) AI has real feelings
  23. 23.🔍 Which is the odd one out? (a) inventing a recipe (b) creating a cartoon (c) unlocking with a face (d) drawing a new picture
  24. 24.Which of these is good for training a model? (a) copies of one photo (b) very few examples (c) clear, sharp examples (d) only one kind of example
  25. 25.True or false: “ask your teacher” is NOT a real way to check an AI answer. (a) True (b) False
  26. 26.🤖 Who builds and trains AI systems? (a) the Moon (b) nobody at all (c) the weather (d) people
  27. 27.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  28. 28.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) text (c) music or sound
  29. 29.Which of these uses AI? (a) a light switch (b) a microwave timer (c) a kitchen weighing scale (d) a map predicting traffic
  30. 30.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  32. 32.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a list of rules only (c) a song about dogs (d) one single photo
  33. 33.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  34. 34.True or false: “only one kind of example” is good for training a model. (a) False (b) True
  35. 35.True or false: sorting names in A to Z order only needs a simple fixed rule. (a) True (b) False
  36. 36.🔍 Which is the odd one out? (a) testing on training data (b) labels added at random (c) correct labels (d) blurry, unclear photos
  37. 37.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
  38. 38.✨ What does generative AI do? (a) charges batteries (b) only adds numbers (c) only stores files (d) makes new content
  39. 39.True or false: “makes a best guess” describes how a normal program works. (a) False (b) True
  40. 40.🔍 Which is the odd one out? (a) writing a new poem (b) making up a story (c) inventing a recipe (d) reading number plates

Answer key

  1. recognising
  2. AI learns from data
  3. long answers are true
  4. a prediction
  5. wrong labels
  6. uses AI
  7. a prompt
  8. check it on paper
  9. no, it finds patterns
  10. it learns from examples
  11. False
  12. an image generator
  13. sorting photos by face
  14. tomorrow’s rain guess
  15. True
  16. sorts or predicts
  17. making up a story
  18. good for training
  19. music or sound
  20. needs AI (learning)
  21. it learns patterns
  22. AI can make up facts
  23. unlocking with a face
  24. clear, sharp examples
  25. False
  26. people
  27. True
  28. text
  29. a map predicting traffic
  30. False
  31. reduces bias
  32. many labelled photos
  33. sorts or predicts
  34. False
  35. True
  36. correct labels
  37. a basic calculator
  38. makes new content
  39. False
  40. reading number plates

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