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AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 557 · 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: “very few examples” is bad for training a model. (a) False (b) True
  2. 2.Which of these is the model? (a) naming a new fruit photo (b) the trained program (c) recorded spoken words (d) typing a new spoken word
  3. 3.Which of these is bad for training a model? (a) examples of every type (b) checking labels twice (c) clear, sharp examples (d) testing on training data
  4. 4.🤖 AI or a normal program: which one “learns from examples”? (a) AI (b) a normal program
  5. 5.🛠️ Does this reduce bias or add to it: fix wrong labels? (a) adds to bias (b) reduces bias
  6. 6.True or false: “AI is never wrong” is a fact about AI. (a) True (b) False
  7. 7.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) one-sided data (b) balanced data
  8. 8.⚖️ One-sided or balanced data: photos of people from only one age group? (a) one-sided data (b) balanced data
  9. 9.🔍 Which is the odd one out? (a) unlocking with a face (b) reading number plates (c) writing a new poem (d) spotting a sick leaf
  10. 10.⏩ In machine learning, which comes first: typing a new spoken word or the trained program? (a) typing a new spoken word (b) the trained program
  11. 11.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  12. 12.True or false: “balance the data” adds to bias. (a) False (b) True
  13. 13.True or false: “flagging a new email” is a prediction. (a) True (b) False
  14. 14.🧮 Which of these is NOT AI? (a) a basic calculator (b) voice typing (c) a spam filter (d) face unlock
  15. 15.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) never do maths (b) ask it to hurry (c) copy it straight away (d) check it on paper
  16. 16.Which of these is training data? (a) naming a new leaf (b) what training builds (c) typing a new spoken word (d) recorded spoken words
  17. 17.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) False (b) True
  18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) spam (b) not spam
  19. 19.✨ What does generative AI do? (a) only stores files (b) makes new content (c) only adds numbers (d) charges batteries
  20. 20.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  21. 21.🔍 Which is the odd one out? (a) new data for testing (b) examples of every type (c) wrong labels (d) photos in many lights
  22. 22.🔍 Which is the odd one out? (a) photos grouped by face (b) an app translating signs (c) voice typing (d) a microwave timer
  23. 23.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  24. 24.True or false: turning spoken words into typed text needs AI that learns from examples. (a) True (b) False
  25. 25.🧐 Fact or myth: “AI copies data patterns”? (a) a myth (b) a fact
  26. 26.Which of these describes how a normal program works? (a) learns from examples (b) improves with more data (c) one set rule per case (d) spots patterns in data
  27. 27.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) training data (c) a prediction
  28. 28.📚 Good or bad for training a model: photos in many lights? (a) good for training (b) bad for training
  29. 29.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  30. 30.🤖 AI or a normal program: which one “gives a likely answer”? (a) AI (b) a normal program
  31. 31.📱 What is the AI doing here: an online shop showing “you may also like”? (a) recognising (b) predicting (c) generating (d) recommending
  32. 32.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
  33. 33.True or false: “tomorrow’s rain guess” is the model. (a) False (b) True
  34. 34.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
  35. 35.True or false: “AI can be wrong” is a myth about AI. (a) True (b) False
  36. 36.✨ Generative or not: spotting a sick leaf? (a) sorts or predicts (b) makes something new
  37. 37.Which of these uses AI? (a) a printed timetable (b) an image generator (c) a kitchen weighing scale (d) a stopwatch
  38. 38.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  39. 39.🔍 Which is the odd one out? (a) AI is never wrong (b) AI knows everything (c) confident means correct (d) AI copies data patterns
  40. 40.Which of these describes how AI works? (a) does exactly as coded (b) follows fixed rules (c) never learns from data (d) makes a best guess

Answer key

  1. True
  2. the trained program
  3. testing on training data
  4. AI
  5. reduces bias
  6. False
  7. one-sided data
  8. one-sided data
  9. writing a new poem
  10. the trained program
  11. not AI
  12. False
  13. True
  14. a basic calculator
  15. check it on paper
  16. recorded spoken words
  17. False
  18. not spam
  19. makes new content
  20. True
  21. wrong labels
  22. a microwave timer
  23. good for training
  24. True
  25. a fact
  26. one set rule per case
  27. training data
  28. good for training
  29. bad for training
  30. AI
  31. recommending
  32. the learned patterns
  33. False
  34. False
  35. False
  36. sorts or predicts
  37. an image generator
  38. one-sided data
  39. AI copies data patterns
  40. makes a best guess

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