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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 305 · 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 trained program” is the model. (a) True (b) False
  2. 2.🔁 Training data, the model or a prediction: “what training builds”? (a) the model (b) a prediction (c) training data
  3. 3.Which of these uses AI? (a) a torch (b) a kitchen weighing scale (c) a stopwatch (d) face unlock on a phone
  4. 4.🏷️ What is a “label” in machine learning? (a) the font size (b) the price (c) the right answer tag (d) a sticker on a laptop
  5. 5.Which of these is the model? (a) typing a new spoken word (b) recorded spoken words (c) the learned patterns (d) past weather records
  6. 6.Which of these is a prediction? (a) recorded spoken words (b) what training builds (c) 500 labelled leaf photos (d) naming a new fruit photo
  7. 7.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  8. 8.🔍 Which is the odd one out? (a) long answers are true (b) AI can mix up numbers (c) AI is never wrong (d) confident means correct
  9. 9.True or false: “check who is missing” adds to bias. (a) False (b) True
  10. 10.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) predicting (c) generating (d) recognising
  11. 11.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  12. 12.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
  13. 13.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  14. 14.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  15. 15.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
  16. 16.🐶 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) many labelled photos (d) one single photo
  17. 17.🔍 Which is the odd one out? (a) new data for testing (b) photos in many lights (c) examples of every type (d) only one kind of example
  18. 18.⏩ In machine learning, which comes first: what training builds or past weather records? (a) what training builds (b) past weather records
  19. 19.🤖 What does AI stand for? (a) artificial intelligence (b) app installer (c) actual information (d) automatic internet
  20. 20.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  21. 21.Which of these is a prediction? (a) flagging a new email (b) recorded spoken words (c) past weather records (d) 500 labelled leaf photos
  22. 22.🔍 Which is the odd one out? (a) wrong labels (b) new data for testing (c) photos in many lights (d) many varied examples
  23. 23.🔍 Which is the odd one out? (a) suggesting a video (b) sorting photos by face (c) predicting rain (d) drawing a new picture
  24. 24.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) an image (b) text (c) music or sound
  25. 25.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a summary (d) a password
  26. 26.True or false: “use one group only” helps reduce bias. (a) True (b) False
  27. 27.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  28. 28.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  29. 29.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  30. 30.True or false: a leaf app trained only on summer leaves is one-sided data (likely to make a biased model). (a) True (b) False
  31. 31.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  32. 32.Which of these is not AI? (a) photos grouped by face (b) a map predicting traffic (c) a printed timetable (d) a spam filter
  33. 33.True or false: “add varied examples” helps reduce bias. (a) True (b) False
  34. 34.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  35. 35.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
  36. 36.🛠️ Which does this job need: recognising a friend’s face in photos? (a) a simple rule is enough (b) needs AI (learning)
  37. 37.Which of these describes how AI works? (a) does exactly as coded (b) improves with more data (c) never learns from data (d) one set rule per case
  38. 38.✍️ How does an AI chatbot write its replies? (a) asks a person (b) uses magic (c) predicts likely words (d) copies one website
  39. 39.💬 What do we call the request you type to a generative AI? (a) a battery (b) a label (c) a password (d) a prompt
  40. 40.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training

Answer key

  1. True
  2. the model
  3. face unlock on a phone
  4. the right answer tag
  5. the learned patterns
  6. naming a new fruit photo
  7. data, model, prediction
  8. AI can mix up numbers
  9. False
  10. predicting
  11. False
  12. a basic calculator
  13. a fact
  14. not AI
  15. not AI
  16. many labelled photos
  17. only one kind of example
  18. past weather records
  19. artificial intelligence
  20. not AI
  21. flagging a new email
  22. wrong labels
  23. drawing a new picture
  24. an image
  25. a hallucination
  26. False
  27. makes something new
  28. False
  29. training data
  30. True
  31. good for training
  32. a printed timetable
  33. True
  34. False
  35. True
  36. needs AI (learning)
  37. improves with more data
  38. predicts likely words
  39. a prompt
  40. bad for training

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