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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 727 · 40 questions
TalentJR

AI tip (Know it, prompt it, check it): Find the topic: what AI is, prompts, honest use, checking, privacy, age rules, fakes, credit, study, apps or projects. Use that lesson’s rule and read every option before you choose. For number questions, write the calculation first: words over = written − limit, accuracy = correct ÷ total × 100.

NameDateTime takenScore ___ / 40
  1. 1.Which of these is a red flag — stop and tell an adult? (a) asks for your address (b) explains a topic (c) suggests practice (d) asks your class level
  2. 2.🔒 What can you safely ask an AI chatbot? (a) a science doubt (b) your home address (c) a friend’s phone number (d) your bank PIN
  3. 3.Which of these uses AI? (a) a light switch (b) a calculator (c) a torch (d) photos grouped by face
  4. 4.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  5. 5.🧩 Which part of a prompt is this? “For example: cat → billi” (a) context (b) example (c) task (d) format
  6. 6.✍️ Clear or vague: “Rhymes.”? (a) vague (b) clear
  7. 7.📦 Arjun collected 200 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  8. 8.🛠️ Which does this job need: ringing the school bell at 9 am? (a) needs AI (learning) (b) a simple rule is enough
  9. 9.Which of these is a smart way to study with AI? (a) asking only for answers (b) trusting every summary (c) asking it to do homework (d) redo wrong questions
  10. 10.True or false: “a thank-you note to the bus driver” asks for music or sound. (a) False (b) True
  11. 11.💬 Rule-based or learning chatbot: “matches key words”? (a) learning (b) rule-based
  12. 12.🧩 Which part of a prompt is this? “Answer in 3 bullet points.” (a) format (b) role (c) example (d) task
  13. 13.Which of these should be kept private — never share it with an AI chatbot? (a) a one-time password (b) a maths sum to explain (c) a chapter name (d) a word you don’t know
  14. 14.True or false: “says it may be wrong” is a red flag — stop and tell an adult. (a) True (b) False
  15. 15.🛠️ Which does this job need: showing the time on a clock? (a) needs AI (learning) (b) a simple rule is enough
  16. 16.©️ Whose work is it: my own diary? (a) someone else’s work (b) my own work
  17. 17.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
  18. 18.📰 Before you share a shocking news post, you should… (a) share it fast (b) forward to all (c) add more emojis (d) check trusted sources
  19. 19.Which of these is a warning sign of a fake picture or story? (a) many trusted sources (b) a named author (c) matches the textbook (d) six fingers on a hand
  20. 20.📖 Which is the most trusted source for a school fact? (a) a chain message (b) a funny meme (c) your textbook (d) a random comment
  21. 21.True or false: “AI learns from data” is a fact about AI. (a) False (b) True
  22. 22.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  23. 23.True or false: “labelled fruit photos” is training data. (a) True (b) False
  24. 24.Which of these is bad for training a model? (a) correct labels (b) wrong labels (c) clear, sharp examples (d) new data for testing
  25. 25.🔒 Keep it private or okay to share with an AI chatbot: a bank card number? (a) okay to share (b) keep it private
  26. 26.True or false: “what training builds” is a prediction. (a) True (b) False
  27. 27.📄 A chapter has 400 words. Saanvi asks an AI chatbot for a summary one tenth as long. How many words should the summary have?
  28. 28.True or false: using it in a test when that is not allowed is an honest way to use AI for homework. (a) False (b) True
  29. 29.⏩ In machine learning, which comes first: flagging a new email or recorded spoken words? (a) flagging a new email (b) recorded spoken words
  30. 30.📋 Planning an AI project: which comes first — let it learn patterns or improve data, retest? (a) let it learn patterns (b) improve data, retest
  31. 31.📋 Planning an AI project: which comes first — label each example or gather many examples? (a) label each example (b) gather many examples
  32. 32.Which of these is generative AI (it makes something new)? (a) sorting photos by face (b) turning speech to text (c) writing a new poem (d) spotting spam
  33. 33.⚖️ One-sided or balanced data: neat and messy writing from many people? (a) one-sided data (b) balanced data
  34. 34.🔍 Which is the odd one out? (a) calm, factual words (b) shadows going two ways (c) a background that bends (d) mismatched earrings
  35. 35.🪜 Why ask an AI chatbot to show the steps? (a) to copy faster (b) to learn the method (c) to get a longer answer (d) to make it slower
  36. 36.©️ Whose work is it: a cartoon from a comic? (a) my own work (b) someone else’s work
  37. 37.True or false: “AI learns from data” is a myth about AI. (a) False (b) True
  38. 38.🔍 Which is the odd one out? (a) use one group only (b) test on many groups (c) skip testing (d) ignore complaints
  39. 39.True or false: “blurry, unclear photos” is bad for training a model. (a) True (b) False
  40. 40.True or false: “Solve 3x + 5 = 20 step by step.” asks the AI to show the steps. (a) False (b) True

Answer key

  1. asks for your address
  2. a science doubt
  3. photos grouped by face
  4. reduces bias
  5. example
  6. vague
  7. 160
  8. a simple rule is enough
  9. redo wrong questions
  10. False
  11. rule-based
  12. format
  13. a one-time password
  14. False
  15. a simple rule is enough
  16. my own work
  17. good for training
  18. check trusted sources
  19. six fingers on a hand
  20. your textbook
  21. True
  22. a prediction
  23. True
  24. wrong labels
  25. keep it private
  26. False
  27. 40
  28. False
  29. recorded spoken words
  30. let it learn patterns
  31. gather many examples
  32. writing a new poem
  33. balanced data
  34. calm, factual words
  35. to learn the method
  36. someone else’s work
  37. False
  38. test on many groups
  39. True
  40. True

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