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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 61 · 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: labels added at random? (a) good for training (b) bad for training
  2. 2.True or false: “labelled fruit photos” is training data. (a) True (b) False
  3. 3.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  4. 4.Which of these is a prediction? (a) the trained program (b) old emails marked spam (c) tomorrow’s rain guess (d) labelled fruit photos
  5. 5.True or false: “one set rule per case” describes how AI works. (a) True (b) False
  6. 6.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
  7. 7.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
  8. 8.🎨 This prompt asks a generative AI for: a thank-you note to the bus driver. What kind of output is that? (a) an image (b) music or sound (c) text
  9. 9.Which of these is good for training a model? (a) photos in many lights (b) very few examples (c) only one kind of example (d) wrong labels
  10. 10.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
  11. 11.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  12. 12.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
  13. 13.🔍 Which is the odd one out? (a) turning speech to text (b) predicting rain (c) writing a new poem (d) spotting spam
  14. 14.📚 Usually, more good examples make a model… (a) slower to switch on (b) forget everything (c) better at its task (d) change colour
  15. 15.True or false: a handwriting app shown only neat writing is balanced data (fairer for everyone). (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) inventing a recipe (b) spotting a sick leaf (c) suggesting a video (d) spotting spam
  17. 17.True or false: “labels added at random” is bad for training a model. (a) False (b) True
  18. 18.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) checking labels twice (d) blurry, unclear photos
  19. 19.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  20. 20.Which of these is the model? (a) tomorrow’s rain guess (b) what training builds (c) typing a new spoken word (d) naming a new fruit photo
  21. 21.True or false: “add more of the same” adds to bias. (a) False (b) True
  22. 22.Which of these is a prediction? (a) the learned patterns (b) 500 labelled leaf photos (c) recorded spoken words (d) flagging a new email
  23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  24. 24.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  25. 25.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
  26. 26.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  27. 27.🔍 Which is the odd one out? (a) a voice assistant (b) an image generator (c) face unlock on a phone (d) a kitchen weighing scale
  28. 28.True or false: “a summary of chapter 3” asks for music or sound. (a) False (b) True
  29. 29.True or false: an AI chatbot writing a poem about rain is AI recommending something. (a) True (b) False
  30. 30.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) training data (d) a prediction
  31. 31.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) drawing (c) sleeping (d) singing
  32. 32.⏩ In machine learning, which comes first: naming a new leaf or labelled fruit photos? (a) naming a new leaf (b) labelled fruit photos
  33. 33.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) the model (c) a prediction
  34. 34.True or false: “a story about a brave ant” asks for an image. (a) False (b) True
  35. 35.True or false: “AI is never wrong” is a fact about AI. (a) False (b) True
  36. 36.✅ Is this a real check of an AI answer: it answered quickly? (a) not a real check (b) a real check
  37. 37.🤖 What makes an AI system different from a normal program? (a) it uses electricity (b) it has a screen (c) it is always right (d) it learns from examples
  38. 38.✨ What does generative AI do? (a) charges batteries (b) only stores files (c) only adds numbers (d) makes new content
  39. 39.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  40. 40.Which of these describes how AI works? (a) never learns from data (b) one set rule per case (c) gives a likely answer (d) uses rules people wrote

Answer key

  1. bad for training
  2. True
  3. a prediction
  4. tomorrow’s rain guess
  5. False
  6. no, it can be wrong
  7. makes something new
  8. text
  9. photos in many lights
  10. good for training
  11. False
  12. it learns patterns
  13. writing a new poem
  14. better at its task
  15. False
  16. inventing a recipe
  17. True
  18. blurry, unclear photos
  19. a real check
  20. what training builds
  21. True
  22. flagging a new email
  23. not spam
  24. True
  25. not a real check
  26. a normal program
  27. a kitchen weighing scale
  28. False
  29. False
  30. a prediction
  31. predicting
  32. labelled fruit photos
  33. a prediction
  34. False
  35. False
  36. not a real check
  37. it learns from examples
  38. makes new content
  39. AI
  40. gives a likely answer

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