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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 674 · 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 does this job need: spotting spam emails by their patterns? (a) needs AI (learning) (b) a simple rule is enough
  2. 2.True or false: “very few examples” is bad for training a model. (a) True (b) False
  3. 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) trust the AI (c) trust the textbook (d) share it online
  4. 4.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) True (b) False
  5. 5.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  6. 6.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  7. 7.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
  8. 8.True or false: “makes a best guess” describes how AI works. (a) True (b) False
  9. 9.📱 What is the AI doing here: a book app suggesting a story like your last one? (a) predicting (b) generating (c) recognising (d) recommending
  10. 10.⚖️ One-sided or balanced data: stories with doctors of every gender? (a) one-sided data (b) balanced data
  11. 11.✅ Is this a real check of an AI answer: it sounds very sure? (a) not a real check (b) a real check
  12. 12.True or false: “see if the book exists” is a real way to check an AI answer. (a) False (b) True
  13. 13.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
  14. 14.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) False (b) True
  15. 15.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) a song about dogs (c) one single photo (d) many labelled photos
  16. 16.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  17. 17.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  18. 18.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, just like us (c) no, it finds patterns (d) yes, it gets sad
  19. 19.🧮 Is a basic calculator an AI system? (a) yes, it is smart (b) only at night (c) yes, it can think (d) no, it follows rules
  20. 20.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  21. 21.Which of these is a prediction? (a) the learned patterns (b) old emails marked spam (c) naming a new fruit photo (d) past weather records
  22. 22.🔍 Which is the odd one out? (a) photos grouped by face (b) a kitchen weighing scale (c) a printed timetable (d) a light switch
  23. 23.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a password (c) a battery (d) a label
  24. 24.True or false: “past weather records” is training data. (a) True (b) False
  25. 25.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  26. 26.Which of these is bad for training a model? (a) examples of every type (b) very few examples (c) photos in many lights (d) new data for testing
  27. 27.True or false: converting metres into centimetres only needs a simple fixed rule. (a) False (b) True
  28. 28.Which of these is not AI? (a) voice typing (b) a digital watch (c) video suggestions (d) an AI chatbot
  29. 29.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) True (b) False
  30. 30.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) recognising (b) generating (c) recommending (d) predicting
  31. 31.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  32. 32.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  33. 33.Which of these is generative AI (it makes something new)? (a) composing a new tune (b) unlocking with a face (c) suggesting a video (d) spotting spam
  34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) singing (d) sleeping
  36. 36.Which of these describes how a normal program works? (a) uses rules people wrote (b) improves with more data (c) makes a best guess (d) handles unseen examples
  37. 37.Which of these is not AI? (a) video suggestions (b) face unlock on a phone (c) a light switch (d) a spam filter
  38. 38.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
  39. 39.🏷️ 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
  40. 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam

Answer key

  1. needs AI (learning)
  2. True
  3. trust the textbook
  4. True
  5. a normal program
  6. AI
  7. True
  8. True
  9. recommending
  10. balanced data
  11. not a real check
  12. True
  13. sorts or predicts
  14. True
  15. many labelled photos
  16. makes something new
  17. False
  18. no, it finds patterns
  19. no, it follows rules
  20. recorded spoken words
  21. naming a new fruit photo
  22. photos grouped by face
  23. a prompt
  24. True
  25. uses AI
  26. very few examples
  27. True
  28. a digital watch
  29. True
  30. generating
  31. good for training
  32. the model
  33. composing a new tune
  34. one-sided data
  35. predicting
  36. uses rules people wrote
  37. a light switch
  38. makes new content
  39. not spam
  40. not spam

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