← 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 601 · 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.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a password (c) a prediction (d) training data
  2. 2.🔍 Which is the odd one out? (a) check who is missing (b) add more of the same (c) ask different people (d) fix wrong labels
  3. 3.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  4. 4.Which of these is training data? (a) typing a new spoken word (b) old emails marked spam (c) the trained program (d) tomorrow’s rain guess
  5. 5.True or false: “new data for testing” is good for training a model. (a) False (b) True
  6. 6.True or false: “what training builds” is the model. (a) False (b) True
  7. 7.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  8. 8.True or false: a leaf app trained only on summer leaves is balanced data (fairer for everyone). (a) True (b) False
  9. 9.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your account is locked, pay ₹99 now” (a) spam (b) not spam
  11. 11.🔍 Which is the odd one out? (a) inventing a recipe (b) writing a new poem (c) suggesting a video (d) making up a story
  12. 12.Which of these describes how a normal program works? (a) handles unseen examples (b) follows fixed rules (c) gives a likely answer (d) spots patterns in data
  13. 13.📱 What is the AI doing here: an online shop showing “you may also like”? (a) generating (b) recognising (c) predicting (d) recommending
  14. 14.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
  15. 15.True or false: “makes a best guess” describes how AI works. (a) False (b) True
  16. 16.True or false: “it sounds very sure” is a real way to check an AI answer. (a) False (b) True
  17. 17.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) follows fixed rules (d) spots patterns in data
  18. 18.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
  19. 19.🏠 AI or not AI: an image generator? (a) not AI (b) uses AI
  20. 20.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can mix up numbers (c) long answers are true (d) AI always checks facts
  21. 21.🖼️ 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
  22. 22.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) one set rule per case (d) learns from examples
  23. 23.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  24. 24.Which of these describes how AI works? (a) learns from examples (b) same steps every time (c) one set rule per case (d) follows fixed rules
  25. 25.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) composing a new tune (c) reading number plates (d) writing a new poem
  26. 26.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
  27. 27.Which of these is a myth about AI? (a) AI always checks facts (b) AI answers need checking (c) AI can make up facts (d) AI can mix up numbers
  28. 28.🔍 Which is the odd one out? (a) many varied examples (b) labels added at random (c) examples of every type (d) clear, sharp examples
  29. 29.True or false: “AI copies data patterns” is a myth about AI. (a) False (b) True
  30. 30.✅ Is this a real check of an AI answer: try the sum on paper? (a) a real check (b) not a real check
  31. 31.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will turn yellow (b) it may get it wrong (c) it will be perfect (d) it will shut down
  32. 32.Which of these describes how AI works? (a) uses rules people wrote (b) follows fixed rules (c) one set rule per case (d) makes a best guess
  33. 33.Which of these uses AI? (a) face unlock on a phone (b) a light switch (c) a calculator (d) a torch
  34. 34.True or false: “a thank-you note to the bus driver” asks for text. (a) False (b) True
  35. 35.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) share it online (c) stop studying (d) trust the textbook
  36. 36.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
  37. 37.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  38. 38.🤖 AI or a normal program: which one “gives a likely answer”? (a) a normal program (b) AI
  39. 39.True or false: a voice app trained only on adult voices is one-sided data (likely to make a biased model). (a) False (b) True
  40. 40.True or false: “ask different people” adds to bias. (a) False (b) True

Answer key

  1. a prediction
  2. add more of the same
  3. bad for training
  4. old emails marked spam
  5. True
  6. True
  7. the model
  8. False
  9. False
  10. spam
  11. suggesting a video
  12. follows fixed rules
  13. recommending
  14. a fact
  15. True
  16. False
  17. spots patterns in data
  18. not spam
  19. uses AI
  20. AI can mix up numbers
  21. bias from data
  22. one set rule per case
  23. one-sided data
  24. learns from examples
  25. reading number plates
  26. predicting
  27. AI always checks facts
  28. labels added at random
  29. False
  30. a real check
  31. it may get it wrong
  32. makes a best guess
  33. face unlock on a phone
  34. True
  35. trust the textbook
  36. needs AI (learning)
  37. True
  38. AI
  39. True
  40. False

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