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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 444 · 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) face unlock on a phone (b) video suggestions (c) a kitchen weighing scale (d) an AI chatbot
  2. 2.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) balanced data (b) one-sided data
  3. 3.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) training data (c) the model
  4. 4.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  5. 5.Which of these is the model? (a) the learned patterns (b) recorded spoken words (c) labelled fruit photos (d) naming a new leaf
  6. 6.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  7. 7.True or false: “past weather records” is the model. (a) False (b) True
  8. 8.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  9. 9.💬 What do we call the request you type to a generative AI? (a) a label (b) a prompt (c) a battery (d) a password
  10. 10.🔍 Which is the odd one out? (a) suggesting a video (b) sorting photos by face (c) spotting a sick leaf (d) drawing a new picture
  11. 11.True or false: “naming a new fruit photo” is the model. (a) True (b) False
  12. 12.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  13. 13.True or false: “naming a new fruit photo” is a prediction. (a) False (b) True
  14. 14.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  15. 15.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) sorting photos by face (c) writing a new poem (d) predicting rain
  16. 16.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  17. 17.Which of these describes how a normal program works? (a) improves with more data (b) makes a best guess (c) handles unseen examples (d) same steps every time
  18. 18.True or false: “very few examples” is bad for training a model. (a) False (b) True
  19. 19.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it prints labels (d) it charges up
  20. 20.🔍 Which is the odd one out? (a) AI can make up facts (b) AI knows everything (c) long answers are true (d) confident means correct
  21. 21.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) the model (c) a prediction
  22. 22.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
  23. 23.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
  24. 24.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  25. 25.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  26. 26.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) AI answers need checking (d) confident means correct
  27. 27.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
  28. 28.⏩ In machine learning, which comes first: the learned patterns or past weather records? (a) the learned patterns (b) past weather records
  29. 29.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
  30. 30.True or false: “one set rule per case” describes how a normal program works. (a) False (b) True
  31. 31.🔍 Which is the odd one out? (a) long answers are true (b) AI has real feelings (c) AI is never wrong (d) AI copies data patterns
  32. 32.🔍 Which is the odd one out? (a) a map predicting traffic (b) video suggestions (c) a torch (d) an AI chatbot
  33. 33.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
  34. 34.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) one-sided data (b) balanced data
  35. 35.True or false: “typing a new spoken word” is the model. (a) True (b) False
  36. 36.True or false: “test on one group only” helps reduce bias. (a) True (b) False
  37. 37.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  38. 38.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  39. 39.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) bias from data (d) a strong battery
  40. 40.🔍 Which is the odd one out? (a) a microwave timer (b) a light switch (c) a calculator (d) an AI chatbot

Answer key

  1. a kitchen weighing scale
  2. balanced data
  3. a prediction
  4. one-sided data
  5. the learned patterns
  6. one-sided data
  7. False
  8. bad for training
  9. a prompt
  10. drawing a new picture
  11. False
  12. not AI
  13. True
  14. the trained program
  15. writing a new poem
  16. False
  17. same steps every time
  18. True
  19. it learns patterns
  20. AI can make up facts
  21. a prediction
  22. True
  23. needs AI (learning)
  24. reduces bias
  25. bad for training
  26. AI answers need checking
  27. the right answer tag
  28. past weather records
  29. False
  30. True
  31. AI copies data patterns
  32. a torch
  33. no, check it anyway
  34. one-sided data
  35. False
  36. False
  37. needs AI (learning)
  38. AI
  39. bias from data
  40. an AI chatbot

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