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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 435 · 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.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) generating (b) predicting (c) recognising (d) recommending
  2. 2.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  3. 3.📦 What happens during training? (a) it charges up (b) it takes photos (c) it prints labels (d) it learns patterns
  4. 4.🔍 Which is the odd one out? (a) only one kind of example (b) very few examples (c) testing on training data (d) correct labels
  5. 5.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a digital watch (c) a voice assistant (d) a doorbell
  6. 6.🧐 Fact or myth: “AI has real feelings”? (a) a fact (b) a myth
  7. 7.🔍 Which is the odd one out? (a) confident means correct (b) AI is never wrong (c) AI has real feelings (d) AI copies data patterns
  8. 8.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  9. 9.✨ Is everything a generative AI makes true? (a) no, it can be wrong (b) yes, always (c) only on Mondays
  10. 10.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) training data (c) a prediction
  11. 11.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recommending (c) recognising (d) generating
  12. 12.📱 What is the AI doing here: a camera app naming the flower you point at? (a) recommending (b) recognising (c) generating (d) predicting
  13. 13.True or false: “a drum beat for a dance” asks for an image. (a) True (b) False
  14. 14.🛠️ Does this reduce bias or add to it: test on many groups? (a) adds to bias (b) reduces bias
  15. 15.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
  16. 16.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
  17. 17.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) yes (c) no
  18. 18.🛠️ Which does this job need: counting the words in an essay? (a) a simple rule is enough (b) needs AI (learning)
  19. 19.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  20. 20.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  21. 21.True or false: “typing a new spoken word” is a prediction. (a) False (b) True
  22. 22.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  23. 23.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) False (b) True
  24. 24.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) blurry, unclear photos (d) many varied examples
  25. 25.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) predicting (c) recognising (d) recommending
  26. 26.True or false: “photos in many lights” is good for training a model. (a) False (b) True
  27. 27.Which of these is a prediction? (a) old emails marked spam (b) recorded spoken words (c) the learned patterns (d) naming a new leaf
  28. 28.🏠 AI or not AI: a digital watch? (a) not AI (b) uses AI
  29. 29.🔍 Which is the odd one out? (a) long answers are true (b) AI answers need checking (c) AI has real feelings (d) AI knows everything
  30. 30.Which of these is good for training a model? (a) very few examples (b) only one kind of example (c) correct labels (d) wrong labels
  31. 31.🔍 Which is the odd one out? (a) many varied examples (b) testing on training data (c) copies of one photo (d) wrong labels
  32. 32.Which of these uses AI? (a) a torch (b) a calculator (c) a voice assistant (d) a digital watch
  33. 33.🔍 Which is the odd one out? (a) a microwave timer (b) a fan regulator (c) a light switch (d) an app translating signs
  34. 34.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) inventing a recipe (c) reading number plates (d) predicting rain
  35. 35.⏩ In machine learning, which comes first: past weather records or typing a new spoken word? (a) past weather records (b) typing a new spoken word
  36. 36.🤖 What makes an AI system different from a normal program? (a) it learns from examples (b) it uses electricity (c) it is always right (d) it has a screen
  37. 37.True or false: translating a sentence into Hindi only needs a simple fixed rule. (a) False (b) True
  38. 38.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) reduces bias (b) adds to bias
  39. 39.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  40. 40.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recommending (b) generating (c) predicting (d) recognising

Answer key

  1. generating
  2. one-sided data
  3. it learns patterns
  4. correct labels
  5. a voice assistant
  6. a myth
  7. AI copies data patterns
  8. recorded spoken words
  9. no, it can be wrong
  10. a prediction
  11. predicting
  12. recognising
  13. False
  14. reduces bias
  15. True
  16. sorts or predicts
  17. no
  18. a simple rule is enough
  19. True
  20. makes something new
  21. True
  22. True
  23. False
  24. many varied examples
  25. recognising
  26. True
  27. naming a new leaf
  28. not AI
  29. AI answers need checking
  30. correct labels
  31. many varied examples
  32. a voice assistant
  33. an app translating signs
  34. inventing a recipe
  35. past weather records
  36. it learns from examples
  37. False
  38. reduces bias
  39. training data
  40. recognising

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