← Part 1 test: what AI is lesson New set →

AI for Kids Worksheet: Part 1 Test

AI for students lesson 8: Part 1 test: what AI is · Set 86 · 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 camera app naming the flower you point at is AI recognising something. (a) False (b) True
  2. 2.True or false: a map app guessing how long a trip will take is AI predicting something. (a) True (b) False
  3. 3.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  4. 4.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  5. 5.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) drawing a new picture (c) creating a cartoon (d) spotting spam
  6. 6.🤖 Who builds and trains AI systems? (a) nobody at all (b) the Moon (c) people (d) the weather
  7. 7.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) a list of rules only (d) one single photo
  8. 8.Which of these is generative AI (it makes something new)? (a) inventing a recipe (b) suggesting a video (c) sorting photos by face (d) spotting a sick leaf
  9. 9.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
  10. 10.⚖️ One-sided or balanced data: a leaf app trained only on summer leaves? (a) balanced data (b) one-sided data
  11. 11.🏠 AI or not AI: a fan regulator? (a) uses AI (b) not AI
  12. 12.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
  13. 13.🔍 Which is the odd one out? (a) AI can make up facts (b) AI knows everything (c) AI copies data patterns (d) AI can be wrong
  14. 14.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) its training data (d) the weather
  15. 15.🏠 AI or not AI: a stopwatch? (a) uses AI (b) not AI
  16. 16.🧮 Which of these is NOT AI? (a) voice typing (b) a basic calculator (c) a spam filter (d) face unlock
  17. 17.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) very few examples (d) blurry, unclear photos
  18. 18.Which of these describes how AI works? (a) never learns from data (b) spots patterns in data (c) does exactly as coded (d) one set rule per case
  19. 19.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  20. 20.True or false: “a story about a brave ant” asks for music or sound. (a) True (b) False
  21. 21.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  22. 22.Which of these is generative AI (it makes something new)? (a) creating a cartoon (b) unlocking with a face (c) suggesting a video (d) predicting rain
  23. 23.True or false: “what training builds” is the model. (a) False (b) True
  24. 24.Which of these is not AI? (a) an image generator (b) a voice assistant (c) a printed timetable (d) an app translating signs
  25. 25.✨ What does generative AI do? (a) makes new content (b) charges batteries (c) only adds numbers (d) only stores files
  26. 26.Which of these is a myth about AI? (a) AI answers need checking (b) AI can be wrong (c) AI can make up facts (d) AI is never wrong
  27. 27.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
  28. 28.🔍 Which is the odd one out? (a) video suggestions (b) a kitchen weighing scale (c) a digital watch (d) a light switch
  29. 29.🧪 Why test a model on NEW examples? (a) to delete its data (b) to make it slower (c) to change its name (d) to see if it works
  30. 30.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
  32. 32.True or false: “long answers are true” is a myth about AI. (a) True (b) False
  33. 33.True or false: “labels added at random” is good for training a model. (a) False (b) True
  34. 34.🧠 Machine learning is a way for computers to… (a) charge faster (b) clean screens (c) learn from data (d) print pages
  35. 35.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
  36. 36.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) making up a story (c) spotting spam (d) predicting rain
  37. 37.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
  38. 38.True or false: “skip testing” helps reduce bias. (a) True (b) False
  39. 39.🔁 Training data, the model or a prediction: “the learned patterns”? (a) the model (b) a prediction (c) training data
  40. 40.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI can be wrong (d) AI always checks facts

Answer key

  1. True
  2. True
  3. True
  4. good for training
  5. spotting spam
  6. people
  7. many labelled photos
  8. inventing a recipe
  9. False
  10. one-sided data
  11. not AI
  12. sorts or predicts
  13. AI knows everything
  14. its training data
  15. not AI
  16. a basic calculator
  17. examples of every type
  18. spots patterns in data
  19. what training builds
  20. False
  21. the learned patterns
  22. creating a cartoon
  23. True
  24. a printed timetable
  25. makes new content
  26. AI is never wrong
  27. training data
  28. video suggestions
  29. to see if it works
  30. a simple rule is enough
  31. good for training
  32. True
  33. False
  34. learn from data
  35. a myth
  36. making up a story
  37. False
  38. False
  39. the model
  40. AI always checks facts

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students