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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 616 · 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.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  2. 2.📱 What is the AI doing here: a car camera reading a speed sign? (a) recognising (b) recommending (c) predicting (d) generating
  3. 3.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) uses magic (c) asks a person (d) copies one website
  4. 4.📱 What is the AI doing here: a music app suggesting a song you may like? (a) recognising (b) recommending (c) predicting (d) generating
  5. 5.True or false: “improves with more data” describes how a normal program works. (a) True (b) False
  6. 6.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  7. 7.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  8. 8.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  9. 9.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) pick a lucky number (c) look in your textbook (d) guess
  10. 10.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) wrong labels (d) examples of every type
  11. 11.🔍 Which is the odd one out? (a) AI can be wrong (b) AI answers need checking (c) AI learns from data (d) AI has real feelings
  12. 12.True or false: “a logo idea for the eco club” asks for text. (a) True (b) False
  13. 13.True or false: “spots patterns in data” describes how AI works. (a) True (b) False
  14. 14.True or false: “old emails marked spam” is training data. (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 screen size (d) its colour
  16. 16.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  17. 17.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  18. 18.🧮 Which of these is NOT AI? (a) face unlock (b) voice typing (c) a spam filter (d) a basic calculator
  19. 19.🔍 Which is the odd one out? (a) a doorbell (b) a light switch (c) video suggestions (d) a torch
  20. 20.⏩ In machine learning, which comes first: naming a new leaf or recorded spoken words? (a) naming a new leaf (b) recorded spoken words
  21. 21.🔍 Which is the odd one out? (a) very few examples (b) only one kind of example (c) testing on training data (d) checking labels twice
  22. 22.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) same steps every time (d) gives a likely answer
  23. 23.True or false: recognising a bird from its song only needs a simple fixed rule. (a) False (b) True
  24. 24.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
  25. 25.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) writing quiz questions (c) reading number plates (d) turning speech to text
  26. 26.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) clear, sharp examples (d) checking labels twice
  27. 27.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
  28. 28.✅ Is this a real check of an AI answer: it is long and detailed? (a) not a real check (b) a real check
  29. 29.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
  30. 30.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  31. 31.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
  32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) training data (c) a prediction
  33. 33.True or false: “past weather records” is training data. (a) True (b) False
  34. 34.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  35. 35.Which of these describes how AI works? (a) does exactly as coded (b) one set rule per case (c) same steps every time (d) spots patterns in data
  36. 36.Which of these uses AI? (a) an image generator (b) a digital watch (c) a light switch (d) a calculator
  37. 37.Which of these is the model? (a) labelled fruit photos (b) naming a new fruit photo (c) recorded spoken words (d) what training builds
  38. 38.🔍 Which is the odd one out? (a) test on many groups (b) fix wrong labels (c) skip testing (d) check who is missing
  39. 39.🔍 Which is the odd one out? (a) an AI chatbot (b) a light switch (c) a calculator (d) a doorbell
  40. 40.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False

Answer key

  1. a normal program
  2. recognising
  3. predicts likely words
  4. recommending
  5. False
  6. training data
  7. good for training
  8. bad for training
  9. look in your textbook
  10. examples of every type
  11. AI has real feelings
  12. False
  13. True
  14. True
  15. its training data
  16. good for training
  17. a prediction
  18. a basic calculator
  19. video suggestions
  20. recorded spoken words
  21. checking labels twice
  22. same steps every time
  23. False
  24. learn from data
  25. writing quiz questions
  26. testing on training data
  27. a normal program
  28. not a real check
  29. an image
  30. makes something new
  31. not spam
  32. the model
  33. True
  34. AI
  35. spots patterns in data
  36. an image generator
  37. what training builds
  38. skip testing
  39. an AI chatbot
  40. True

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