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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 82 · 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.Which of these adds to bias? (a) ask different people (b) use one group only (c) check who is missing (d) add varied examples
  2. 2.Which of these is bad for training a model? (a) checking labels twice (b) clear, sharp examples (c) very few examples (d) examples of every type
  3. 3.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
  4. 4.🔍 Which is the odd one out? (a) a microwave timer (b) a map predicting traffic (c) a doorbell (d) a fan regulator
  5. 5.🔍 Which is the odd one out? (a) an AI chatbot (b) a microwave timer (c) a map predicting traffic (d) a spam filter
  6. 6.🔍 Which is the odd one out? (a) checking labels twice (b) many varied examples (c) examples of every type (d) testing on training data
  7. 7.🧪 Why test a model on NEW examples? (a) to see if it works (b) to make it slower (c) to delete its data (d) to change its name
  8. 8.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  9. 9.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) check it on paper (c) never do maths (d) ask it to hurry
  10. 10.True or false: a car camera reading a speed sign is AI predicting something. (a) False (b) True
  11. 11.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  12. 12.Which of these is not AI? (a) an app translating signs (b) video suggestions (c) a torch (d) photos grouped by face
  13. 13.📱 What is the AI doing here: a camera app naming the flower you point at? (a) generating (b) predicting (c) recommending (d) recognising
  14. 14.True or false: turning your spoken words into typed text is AI recognising something. (a) True (b) False
  15. 15.Which of these is a fact about AI? (a) confident means correct (b) AI always checks facts (c) AI can make up facts (d) AI is never wrong
  16. 16.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  17. 17.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  18. 18.🔍 Which is the odd one out? (a) voice typing (b) a digital watch (c) a voice assistant (d) a map predicting traffic
  19. 19.🔍 Which is the odd one out? (a) spotting spam (b) spotting a sick leaf (c) sorting photos by face (d) creating a cartoon
  20. 20.True or false: an AI chatbot writing a poem about rain is AI predicting something. (a) True (b) False
  21. 21.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  22. 22.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  23. 23.True or false: a book app suggesting a story like your last one is AI recommending something. (a) True (b) False
  24. 24.Which of these helps reduce bias? (a) skip testing (b) copy old unfair choices (c) add more of the same (d) balance the data
  25. 25.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  26. 26.True or false: “old emails marked spam” is a prediction. (a) False (b) True
  27. 27.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
  28. 28.Which of these describes how AI works? (a) same steps every time (b) makes a best guess (c) follows fixed rules (d) does exactly as coded
  29. 29.🛠️ Does this reduce bias or add to it: use one group only? (a) reduces bias (b) adds to bias
  30. 30.True or false: “a picture of a castle made of mangoes” asks for an image. (a) True (b) False
  31. 31.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  32. 32.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
  33. 33.True or false: “testing on training data” is bad for training a model. (a) False (b) True
  34. 34.True or false: “old emails marked spam” is training data. (a) True (b) False
  35. 35.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) app installer (d) automatic internet
  36. 36.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
  37. 37.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) True (b) False
  38. 38.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) bias from data (c) a strong battery (d) a fair model
  39. 39.🧮 Which of these is NOT AI? (a) a spam filter (b) a basic calculator (c) face unlock (d) voice typing
  40. 40.Which of these uses AI? (a) a calculator (b) a fan regulator (c) voice typing (d) a kitchen weighing scale

Answer key

  1. use one group only
  2. very few examples
  3. a prediction
  4. a map predicting traffic
  5. a microwave timer
  6. testing on training data
  7. to see if it works
  8. training data
  9. check it on paper
  10. False
  11. makes something new
  12. a torch
  13. recognising
  14. True
  15. AI can make up facts
  16. AI
  17. good for training
  18. a digital watch
  19. creating a cartoon
  20. False
  21. False
  22. needs AI (learning)
  23. True
  24. balance the data
  25. a normal program
  26. False
  27. a prompt
  28. makes a best guess
  29. adds to bias
  30. True
  31. reduces bias
  32. True
  33. True
  34. True
  35. artificial intelligence
  36. a prediction
  37. False
  38. bias from data
  39. a basic calculator
  40. voice typing

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