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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 219 · 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.True or false: the message “Science project groups are on the board” should be labelled “spam”. (a) False (b) True
  2. 2.True or false: “the learned patterns” is the model. (a) False (b) True
  3. 3.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
  4. 4.True or false: “the trained program” is a prediction. (a) False (b) True
  5. 5.🔍 Which is the odd one out? (a) add varied examples (b) test on many groups (c) fix wrong labels (d) copy old unfair choices
  6. 6.True or false: “labels added at random” is bad for training a model. (a) False (b) True
  7. 7.🔍 Which is the odd one out? (a) ignore complaints (b) copy old unfair choices (c) ask different people (d) test on one group only
  8. 8.Which of these is good for training a model? (a) very few examples (b) testing on training data (c) many varied examples (d) wrong labels
  9. 9.🔁 What is the right order? (a) prediction, data, model (b) model, prediction, data (c) data, prediction, model (d) data, model, prediction
  10. 10.Which of these describes how a normal program works? (a) gives a likely answer (b) handles unseen examples (c) makes a best guess (d) uses rules people wrote
  11. 11.🎨 An image generator makes a picture from… (a) your password (b) a phone number (c) the weather (d) a text description
  12. 12.True or false: “what training builds” is the model. (a) True (b) False
  13. 13.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
  14. 14.✍️ How does an AI chatbot write its replies? (a) predicts likely words (b) copies one website (c) uses magic (d) asks a person
  15. 15.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  16. 16.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
  17. 17.🔁 Training data, the model or a prediction: “flagging a new email”? (a) the model (b) a prediction (c) training data
  18. 18.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  19. 19.🏷️ 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
  20. 20.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
  21. 21.Which of these helps reduce bias? (a) skip testing (b) use one group only (c) copy old unfair choices (d) fix wrong labels
  22. 22.🧐 Fact or myth: “AI can mix up numbers”? (a) a fact (b) a myth
  23. 23.🔍 Which is the odd one out? (a) photos grouped by face (b) a torch (c) a digital watch (d) a microwave timer
  24. 24.Which of these describes how AI works? (a) follows fixed rules (b) improves with more data (c) same steps every time (d) does exactly as coded
  25. 25.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) training data (b) the model (c) a prediction
  26. 26.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) drawing a new picture (c) suggesting a video (d) writing a new poem
  27. 27.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI is never wrong (d) AI answers need checking
  28. 28.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) False (b) True
  29. 29.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
  30. 30.Which of these is good for training a model? (a) blurry, unclear photos (b) new data for testing (c) labels added at random (d) only one kind of example
  31. 31.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) predicting (b) generating (c) recommending (d) recognising
  32. 32.True or false: counting the words in an essay only needs a simple fixed rule. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  34. 34.✅ Is this a real check of an AI answer: it answered quickly? (a) a real check (b) not a real check
  35. 35.🔍 Which is the odd one out? (a) an app translating signs (b) photos grouped by face (c) video suggestions (d) a fan regulator
  36. 36.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  37. 37.🎨 This prompt asks a generative AI for: a soft lullaby melody. What kind of output is that? (a) text (b) music or sound (c) an image
  38. 38.Which of these is not AI? (a) a map predicting traffic (b) an app translating signs (c) video suggestions (d) a torch
  39. 39.🔍 Which is the odd one out? (a) only one kind of example (b) many varied examples (c) clear, sharp examples (d) checking labels twice
  40. 40.🏠 AI or not AI: a calculator? (a) uses AI (b) not AI

Answer key

  1. False
  2. True
  3. True
  4. False
  5. copy old unfair choices
  6. True
  7. ask different people
  8. many varied examples
  9. data, model, prediction
  10. uses rules people wrote
  11. a text description
  12. True
  13. no, it follows rules
  14. predicts likely words
  15. sorts or predicts
  16. it learns patterns
  17. a prediction
  18. the model
  19. not spam
  20. True
  21. fix wrong labels
  22. a fact
  23. photos grouped by face
  24. improves with more data
  25. training data
  26. suggesting a video
  27. AI is never wrong
  28. True
  29. a normal program
  30. new data for testing
  31. generating
  32. True
  33. past weather records
  34. not a real check
  35. a fan regulator
  36. uses AI
  37. music or sound
  38. a torch
  39. only one kind of example
  40. not AI

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