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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 168 · 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 is the odd one out? (a) AI knows everything (b) AI copies data patterns (c) AI learns from data (d) AI can make up facts
  2. 2.🔍 Which is the odd one out? (a) video suggestions (b) a torch (c) a calculator (d) a digital watch
  3. 3.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  4. 4.Which of these is a prediction? (a) the learned patterns (b) typing a new spoken word (c) what training builds (d) 500 labelled leaf photos
  5. 5.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  6. 6.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
  7. 7.True or false: “improves with more data” describes how AI works. (a) True (b) False
  8. 8.Which of these describes how a normal program works? (a) improves with more data (b) one set rule per case (c) gives a likely answer (d) handles unseen examples
  9. 9.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
  10. 10.⏩ In machine learning, which comes first: past weather records or what training builds? (a) past weather records (b) what training builds
  11. 11.Which of these uses AI? (a) an AI chatbot (b) a kitchen weighing scale (c) a digital watch (d) a light switch
  12. 12.True or false: “examples of every type” is good for training a model. (a) True (b) False
  13. 13.True or false: “it is long and detailed” is a real way to check an AI answer. (a) True (b) False
  14. 14.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
  15. 15.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  16. 16.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  17. 17.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
  18. 18.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  19. 19.Which of these is a myth about AI? (a) AI answers need checking (b) AI copies data patterns (c) AI always checks facts (d) AI can make up facts
  20. 20.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) training data (c) the model
  21. 21.True or false: a map app guessing how long a trip will take is AI generating something new. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) wrong labels (b) labels added at random (c) photos in many lights (d) very few examples
  23. 23.🔍 Which is the odd one out? (a) checking labels twice (b) correct labels (c) testing on training data (d) new data for testing
  24. 24.True or false: “AI answers need checking” is a fact about AI. (a) False (b) True
  25. 25.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  26. 26.True or false: “AI copies data patterns” is a myth about AI. (a) True (b) False
  27. 27.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  28. 28.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
  29. 29.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
  30. 30.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  31. 31.True or false: “new data for testing” is bad for training a model. (a) True (b) False
  32. 32.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) charge faster (d) learn from data
  33. 33.🔍 Which is the odd one out? (a) a digital watch (b) a voice assistant (c) an AI chatbot (d) photos grouped by face
  34. 34.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  35. 35.🏠 AI or not AI: a light switch? (a) not AI (b) uses AI
  36. 36.📱 What is the AI doing here: a video app suggesting what to watch next? (a) generating (b) predicting (c) recommending (d) recognising
  37. 37.📚 Good or bad for training a model: new data for testing? (a) good for training (b) bad for training
  38. 38.🎨 This prompt asks a generative AI for: a summary of chapter 3. What kind of output is that? (a) an image (b) music or sound (c) text
  39. 39.🤖 What does AI stand for? (a) app installer (b) actual information (c) automatic internet (d) artificial intelligence
  40. 40.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) True (b) False

Answer key

  1. AI knows everything
  2. video suggestions
  3. a myth
  4. typing a new spoken word
  5. a prediction
  6. data, model, prediction
  7. True
  8. one set rule per case
  9. training data
  10. past weather records
  11. an AI chatbot
  12. True
  13. False
  14. AI
  15. spam
  16. uses AI
  17. bad for training
  18. bad for training
  19. AI always checks facts
  20. training data
  21. False
  22. photos in many lights
  23. testing on training data
  24. True
  25. True
  26. False
  27. False
  28. True
  29. makes something new
  30. good for training
  31. False
  32. learn from data
  33. a digital watch
  34. reduces bias
  35. not AI
  36. recommending
  37. good for training
  38. text
  39. artificial intelligence
  40. False

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