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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 140 · 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.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
  2. 2.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) no, it finds patterns (c) yes, it gets sad (d) only on weekends
  3. 3.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  4. 4.True or false: “only one kind of example” is good for training a model. (a) True (b) False
  5. 5.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
  6. 6.🛠️ Does this reduce bias or add to it: check who is missing? (a) reduces bias (b) adds to bias
  7. 7.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) share it online (b) trust the AI (c) stop studying (d) trust the textbook
  8. 8.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) reading number plates (c) making up a story (d) writing a new poem
  9. 9.Which of these describes how a normal program works? (a) one set rule per case (b) spots patterns in data (c) handles unseen examples (d) gives a likely answer
  10. 10.🤖 AI or a normal program: which one “makes a best guess”? (a) a normal program (b) AI
  11. 11.🗣️ 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) few child voices in data (d) the phone was new
  12. 12.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
  13. 13.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) examples of every type (d) copies of one photo
  14. 14.True or false: “ask different people” adds to bias. (a) True (b) False
  15. 15.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model
  16. 16.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “spam”. (a) False (b) True
  17. 17.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recommending (c) generating (d) recognising
  18. 18.🧮 Which of these is NOT AI? (a) voice typing (b) face unlock (c) a spam filter (d) a basic calculator
  19. 19.🔍 Which is the odd one out? (a) suggesting a video (b) reading number plates (c) creating a cartoon (d) turning speech to text
  20. 20.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) writing a new poem (c) creating a cartoon (d) sorting photos by face
  21. 21.True or false: “a drum beat for a dance” asks for music or sound. (a) True (b) False
  22. 22.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) does exactly as coded (d) learns from examples
  23. 23.🔍 Which is the odd one out? (a) an AI chatbot (b) voice typing (c) a spam filter (d) a stopwatch
  24. 24.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
  25. 25.Which of these is generative AI (it makes something new)? (a) reading number plates (b) spotting spam (c) writing a new poem (d) suggesting a video
  26. 26.🔍 Which is the odd one out? (a) skip testing (b) copy old unfair choices (c) check who is missing (d) ignore complaints
  27. 27.🛠️ What helps make an AI system fairer? (a) fewer tests (b) more varied data (c) ignoring mistakes (d) one group only
  28. 28.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  29. 29.True or false: “handles unseen examples” describes how AI works. (a) False (b) True
  30. 30.Which of these is not AI? (a) photos grouped by face (b) a printed timetable (c) a voice assistant (d) video suggestions
  31. 31.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
  32. 32.True or false: a map app guessing how long a trip will take is AI predicting something. (a) False (b) True
  33. 33.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
  34. 34.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  35. 35.🧐 Fact or myth: “AI can be wrong”? (a) a myth (b) a fact
  36. 36.Which of these describes how a normal program works? (a) handles unseen examples (b) makes a best guess (c) follows fixed rules (d) improves with more data
  37. 37.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  38. 38.🎨 This prompt asks a generative AI for: a story about a brave ant. What kind of output is that? (a) an image (b) music or sound (c) text
  39. 39.True or false: “blurry, unclear photos” is good for training a model. (a) True (b) False
  40. 40.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data

Answer key

  1. bad for training
  2. no, it finds patterns
  3. no
  4. False
  5. learn from data
  6. reduces bias
  7. trust the textbook
  8. reading number plates
  9. one set rule per case
  10. AI
  11. few child voices in data
  12. a normal program
  13. examples of every type
  14. False
  15. training data
  16. True
  17. predicting
  18. a basic calculator
  19. creating a cartoon
  20. sorting photos by face
  21. True
  22. does exactly as coded
  23. a stopwatch
  24. False
  25. writing a new poem
  26. check who is missing
  27. more varied data
  28. reduces bias
  29. True
  30. a printed timetable
  31. the model
  32. True
  33. it learns from examples
  34. a prediction
  35. a fact
  36. follows fixed rules
  37. a fact
  38. text
  39. False
  40. the model

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