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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 185 · 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.⚖️ Where does bias in an AI system usually come from? (a) its screen size (b) the weather (c) its colour (d) its training data
  2. 2.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  3. 3.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
  4. 4.🧮 Which of these is NOT AI? (a) face unlock (b) a basic calculator (c) a spam filter (d) voice typing
  5. 5.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) it was a rainy day (c) the phone was new (d) few child voices in data
  6. 6.True or false: converting metres into centimetres needs AI that learns from examples. (a) False (b) True
  7. 7.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  8. 8.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  9. 9.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  10. 10.🔍 Which is the odd one out? (a) writing a new poem (b) composing a new tune (c) spotting spam (d) writing quiz questions
  11. 11.🔍 Which is the odd one out? (a) AI is never wrong (b) AI always checks facts (c) AI knows everything (d) AI copies data patterns
  12. 12.True or false: “it uses big words” is a real way to check an AI answer. (a) True (b) False
  13. 13.Which of these describes how a normal program works? (a) gives a likely answer (b) uses rules people wrote (c) makes a best guess (d) learns from examples
  14. 14.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
  15. 15.🔍 Which is the odd one out? (a) wrong labels (b) photos in many lights (c) many varied examples (d) correct labels
  16. 16.True or false: “old emails marked spam” is a prediction. (a) True (b) False
  17. 17.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
  18. 18.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
  19. 19.True or false: “learns from examples” describes how AI works. (a) True (b) False
  20. 20.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  21. 21.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
  22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
  23. 23.🔍 Which is the odd one out? (a) making up a story (b) spotting a sick leaf (c) writing a new poem (d) writing quiz questions
  24. 24.🔁 What is the right order? (a) data, prediction, model (b) prediction, data, model (c) data, model, prediction (d) model, prediction, data
  25. 25.True or false: “never learns from data” describes how AI works. (a) True (b) False
  26. 26.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) training data (b) the model (c) a prediction
  27. 27.Which of these is the model? (a) old emails marked spam (b) recorded spoken words (c) labelled fruit photos (d) what training builds
  28. 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  29. 29.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) recognising (c) generating (d) predicting
  30. 30.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
  31. 31.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) check it on paper (c) copy it straight away (d) never do maths
  32. 32.🤖 What does AI stand for? (a) app installer (b) artificial intelligence (c) automatic internet (d) actual information
  33. 33.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
  34. 34.📱 What is the AI doing here: a keyboard guessing your next word? (a) generating (b) recommending (c) recognising (d) predicting
  35. 35.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  36. 36.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  37. 37.Which of these uses AI? (a) a stopwatch (b) a torch (c) voice typing (d) a fan regulator
  38. 38.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
  39. 39.Which of these is a myth about AI? (a) AI has real feelings (b) AI can make up facts (c) AI can be wrong (d) AI answers need checking
  40. 40.💬 What do we call the request you type to a generative AI? (a) a prompt (b) a battery (c) a password (d) a label

Answer key

  1. its training data
  2. reduces bias
  3. a prediction
  4. a basic calculator
  5. few child voices in data
  6. False
  7. to see if it works
  8. bad for training
  9. False
  10. spotting spam
  11. AI copies data patterns
  12. False
  13. uses rules people wrote
  14. uses AI
  15. wrong labels
  16. False
  17. music or sound
  18. False
  19. True
  20. sorts or predicts
  21. a myth
  22. spam
  23. spotting a sick leaf
  24. data, model, prediction
  25. False
  26. training data
  27. what training builds
  28. training data
  29. generating
  30. learn from data
  31. check it on paper
  32. artificial intelligence
  33. False
  34. predicting
  35. uses AI
  36. AI
  37. voice typing
  38. reduces bias
  39. AI has real feelings
  40. a prompt

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