← 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 346 · 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 describes how a normal program works? (a) spots patterns in data (b) learns from examples (c) follows fixed rules (d) handles unseen examples
  2. 2.💬 What do we call the request you type to a generative AI? (a) a battery (b) a password (c) a label (d) a prompt
  3. 3.True or false: spotting spam emails by their patterns needs AI that learns from examples. (a) False (b) True
  4. 4.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
  5. 5.Which of these is the model? (a) past weather records (b) tomorrow’s rain guess (c) flagging a new email (d) the learned patterns
  6. 6.🔍 Which is the odd one out? (a) add varied examples (b) balance the data (c) fix wrong labels (d) skip testing
  7. 7.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
  8. 8.🤖 What makes an AI system different from a normal program? (a) it has a screen (b) it is always right (c) it uses electricity (d) it learns from examples
  9. 9.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a strong battery (b) a broken screen (c) a fair model (d) bias from data
  10. 10.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  11. 11.🏠 AI or not AI: face unlock on a phone? (a) not AI (b) uses AI
  12. 12.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
  13. 13.🔍 Which is the odd one out? (a) a printed timetable (b) voice typing (c) face unlock on a phone (d) a map predicting traffic
  14. 14.Which of these helps reduce bias? (a) check who is missing (b) ignore complaints (c) add more of the same (d) use one group only
  15. 15.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) predicting (c) recognising (d) generating
  16. 16.🧮 Which of these is NOT AI? (a) face unlock (b) a spam filter (c) voice typing (d) a basic calculator
  17. 17.True or false: voices of children and adults from many regions is balanced data (fairer for everyone). (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) copies of one photo (b) examples of every type (c) many varied examples (d) photos in many lights
  19. 19.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  20. 20.✍️ How does an AI chatbot write its replies? (a) copies one website (b) asks a person (c) uses magic (d) predicts likely words
  21. 21.Which of these helps reduce bias? (a) copy old unfair choices (b) skip testing (c) balance the data (d) use one group only
  22. 22.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) an image (c) music or sound
  23. 23.✨ What does generative AI do? (a) only stores files (b) makes new content (c) only adds numbers (d) charges batteries
  24. 24.🎨 An image generator makes a picture from… (a) the weather (b) a phone number (c) your password (d) a text description
  25. 25.Which of these describes how a normal program works? (a) does exactly as coded (b) spots patterns in data (c) makes a best guess (d) gives a likely answer
  26. 26.🔍 Which is the odd one out? (a) a torch (b) an app translating signs (c) a digital watch (d) a light switch
  27. 27.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
  28. 28.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) very few examples (d) blurry, unclear photos
  29. 29.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  30. 30.🏠 AI or not AI: video suggestions? (a) not AI (b) uses AI
  31. 31.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) yes, just like us (d) only on weekends
  32. 32.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  33. 33.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
  34. 34.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  35. 35.📚 Good or bad for training a model: only one kind of example? (a) bad for training (b) good for training
  36. 36.⏩ In machine learning, which comes first: old emails marked spam or naming a new leaf? (a) old emails marked spam (b) naming a new leaf
  37. 37.🧐 Fact or myth: “AI can be wrong”? (a) a fact (b) a myth
  38. 38.Which of these is generative AI (it makes something new)? (a) predicting rain (b) suggesting a video (c) making up a story (d) sorting photos by face
  39. 39.Which of these uses AI? (a) a light switch (b) a stopwatch (c) a doorbell (d) an AI chatbot
  40. 40.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) music or sound (b) text (c) an image

Answer key

  1. follows fixed rules
  2. a prompt
  3. True
  4. True
  5. the learned patterns
  6. skip testing
  7. AI
  8. it learns from examples
  9. bias from data
  10. makes something new
  11. uses AI
  12. many labelled photos
  13. a printed timetable
  14. check who is missing
  15. recognising
  16. a basic calculator
  17. True
  18. copies of one photo
  19. the model
  20. predicts likely words
  21. balance the data
  22. text
  23. makes new content
  24. a text description
  25. does exactly as coded
  26. an app translating signs
  27. sorts or predicts
  28. many varied examples
  29. False
  30. uses AI
  31. no, it finds patterns
  32. its training data
  33. False
  34. AI
  35. bad for training
  36. old emails marked spam
  37. a fact
  38. making up a story
  39. an AI chatbot
  40. text

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