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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 887 · 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: a car camera reading a speed sign is AI generating something new. (a) False (b) True
  2. 2.⏩ In machine learning, which comes first: what training builds or tomorrow’s rain guess? (a) what training builds (b) tomorrow’s rain guess
  3. 3.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) trust the AI (c) stop studying (d) share it online
  4. 4.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
  5. 5.True or false: converting metres into centimetres only needs a simple fixed rule. (a) True (b) False
  6. 6.🔍 Which is the odd one out? (a) testing on training data (b) photos in many lights (c) clear, sharp examples (d) checking labels twice
  7. 7.True or false: “check who is missing” helps reduce bias. (a) True (b) False
  8. 8.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
  9. 9.📱 What is the AI doing here: a map app guessing how long a trip will take? (a) generating (b) predicting (c) recommending (d) recognising
  10. 10.🔍 Which is the odd one out? (a) a light switch (b) a stopwatch (c) face unlock on a phone (d) a torch
  11. 11.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  12. 12.True or false: “AI answers need checking” is a fact about AI. (a) True (b) False
  13. 13.⏩ In machine learning, which comes first: old emails marked spam or flagging a new email? (a) old emails marked spam (b) flagging a new email
  14. 14.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) training data (c) the model
  15. 15.Which of these is good for training a model? (a) testing on training data (b) labels added at random (c) new data for testing (d) only one kind of example
  16. 16.Which of these is good for training a model? (a) testing on training data (b) photos in many lights (c) labels added at random (d) copies of one photo
  17. 17.True or false: the message “Last chance! Free gift card inside” should be labelled “not spam”. (a) False (b) True
  18. 18.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  19. 19.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) generating (c) recommending (d) predicting
  20. 20.True or false: “AI always checks facts” is a myth about AI. (a) False (b) True
  21. 21.🎨 This prompt asks a generative AI for: a picture of a castle made of mangoes. What kind of output is that? (a) an image (b) music or sound (c) text
  22. 22.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) only on weekends (c) yes, it gets sad (d) no, it finds patterns
  23. 23.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  24. 24.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
  25. 25.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  26. 26.True or false: “a poster of a rainforest” asks for music or sound. (a) False (b) True
  27. 27.📦 What happens during training? (a) it learns patterns (b) it prints labels (c) it charges up (d) it takes photos
  28. 28.True or false: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: the trained program or naming a new leaf? (a) the trained program (b) naming a new leaf
  30. 30.🤖 AI or a normal program: which one “uses rules people wrote”? (a) AI (b) a normal program
  31. 31.📺 A video app suggests what to watch next. What is the AI doing? (a) printing (b) recommending (c) charging (d) cooking
  32. 32.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its colour (c) its training data (d) its screen size
  33. 33.🤖 What does AI stand for? (a) automatic internet (b) app installer (c) actual information (d) artificial intelligence
  34. 34.True or false: reading messy handwriting needs AI that learns from examples. (a) True (b) False
  35. 35.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
  36. 36.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
  37. 37.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
  38. 38.✨ Generative or not: sorting photos by face? (a) makes something new (b) sorts or predicts
  39. 39.True or false: “naming a new leaf” is a prediction. (a) True (b) False
  40. 40.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True

Answer key

  1. False
  2. what training builds
  3. trust the textbook
  4. good for training
  5. True
  6. testing on training data
  7. True
  8. reduces bias
  9. predicting
  10. face unlock on a phone
  11. sorts or predicts
  12. True
  13. old emails marked spam
  14. training data
  15. new data for testing
  16. photos in many lights
  17. False
  18. False
  19. generating
  20. True
  21. an image
  22. no, it finds patterns
  23. makes something new
  24. training data
  25. makes something new
  26. False
  27. it learns patterns
  28. False
  29. the trained program
  30. a normal program
  31. recommending
  32. its training data
  33. artificial intelligence
  34. True
  35. spam
  36. good for training
  37. AI
  38. sorts or predicts
  39. True
  40. True

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