← 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 429 · 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 of these is generative AI (it makes something new)? (a) unlocking with a face (b) sorting photos by face (c) writing a new poem (d) reading number plates
  2. 2.Which of these adds to bias? (a) use one group only (b) ask different people (c) check who is missing (d) add varied examples
  3. 3.True or false: “500 labelled leaf photos” is a prediction. (a) False (b) True
  4. 4.Which of these is generative AI (it makes something new)? (a) turning speech to text (b) unlocking with a face (c) composing a new tune (d) spotting a sick leaf
  5. 5.✨ Generative or not: spotting a sick leaf? (a) makes something new (b) sorts or predicts
  6. 6.✅ Is this a real check of an AI answer: ask your teacher? (a) not a real check (b) a real check
  7. 7.Which of these is training data? (a) typing a new spoken word (b) flagging a new email (c) the trained program (d) labelled fruit photos
  8. 8.Which of these describes how a normal program works? (a) improves with more data (b) gives a likely answer (c) spots patterns in data (d) does exactly as coded
  9. 9.📺 A video app suggests what to watch next. What is the AI doing? (a) charging (b) printing (c) recommending (d) cooking
  10. 10.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  11. 11.🤖 What does AI stand for? (a) automatic internet (b) actual information (c) artificial intelligence (d) app installer
  12. 12.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  13. 13.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
  14. 14.True or false: “AI copies data patterns” is a fact about AI. (a) True (b) False
  15. 15.True or false: “a thank-you note to the bus driver” asks for an image. (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: skip testing? (a) reduces bias (b) adds to bias
  17. 17.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) False (b) True
  18. 18.Which of these is good for training a model? (a) wrong labels (b) clear, sharp examples (c) very few examples (d) only one kind of example
  19. 19.⏩ In machine learning, which comes first: labelled fruit photos or naming a new fruit photo? (a) labelled fruit photos (b) naming a new fruit photo
  20. 20.True or false: “a story about a brave ant” asks for text. (a) False (b) True
  21. 21.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
  22. 22.True or false: “learns from examples” describes how AI works. (a) True (b) False
  23. 23.🔍 Which is the odd one out? (a) a light switch (b) a kitchen weighing scale (c) photos grouped by face (d) a digital watch
  24. 24.Which of these uses AI? (a) a map predicting traffic (b) a stopwatch (c) a calculator (d) a light switch
  25. 25.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it can think (c) yes, it is smart (d) only at night
  26. 26.✨ Is everything a generative AI makes true? (a) yes, always (b) only on Mondays (c) no, it can be wrong
  27. 27.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a broken screen (b) a strong battery (c) a fair model (d) bias from data
  28. 28.🔍 Which is the odd one out? (a) spotting spam (b) turning speech to text (c) unlocking with a face (d) drawing a new picture
  29. 29.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  30. 30.📱 What is the AI doing here: turning your spoken words into typed text? (a) predicting (b) recommending (c) generating (d) recognising
  31. 31.✅ Is this a real check of an AI answer: see if the book exists? (a) a real check (b) not a real check
  32. 32.True or false: telling a cat photo from a dog photo only needs a simple fixed rule. (a) True (b) False
  33. 33.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) trust the AI (c) share it online (d) stop studying
  34. 34.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) many labelled photos (c) one single photo (d) a list of rules only
  35. 35.Which of these is the model? (a) labelled fruit photos (b) the trained program (c) old emails marked spam (d) recorded spoken words
  36. 36.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) an image (b) music or sound (c) text
  37. 37.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  38. 38.True or false: “correct labels” is bad for training a model. (a) True (b) False
  39. 39.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) clean screens (d) charge faster
  40. 40.🏠 AI or not AI: a stopwatch? (a) not AI (b) uses AI

Answer key

  1. writing a new poem
  2. use one group only
  3. False
  4. composing a new tune
  5. sorts or predicts
  6. a real check
  7. labelled fruit photos
  8. does exactly as coded
  9. recommending
  10. good for training
  11. artificial intelligence
  12. makes something new
  13. a normal program
  14. True
  15. False
  16. adds to bias
  17. True
  18. clear, sharp examples
  19. labelled fruit photos
  20. True
  21. not spam
  22. True
  23. photos grouped by face
  24. a map predicting traffic
  25. no, it follows rules
  26. no, it can be wrong
  27. bias from data
  28. drawing a new picture
  29. True
  30. recognising
  31. a real check
  32. False
  33. trust the textbook
  34. many labelled photos
  35. the trained program
  36. text
  37. False
  38. False
  39. learn from data
  40. not AI

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