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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 931 · 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 is the odd one out? (a) name the exact topic (b) say what it is for (c) add lots of emojis (d) add your class level
  2. 2.Which of these should be kept private — never share it with an AI chatbot? (a) your live location (b) a science question (c) a maths sum to explain (d) a story idea
  3. 3.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
  4. 4.🧐 Fact or myth: “AI learns from data”? (a) a fact (b) a myth
  5. 5.🗂️ What study help is this prompt asking for? “Make cards with a term on one side, its meaning on the other.” (a) a practice quiz (b) flashcards (c) an explanation (d) a summary
  6. 6.True or false: “for a 9-year-old” sets the style or tone. (a) True (b) False
  7. 7.🛠️ Does this make a weak prompt better: add your class level? (a) not a fix (b) a good fix
  8. 8.🎯 Vihaan’s handwriting reader is 70% accurate. If it is tested on 20 new handwritten letters, how many should it get right?
  9. 9.Which of these does not make a prompt better? (a) add a word limit (b) say what it is for (c) add your class level (d) add lots of emojis
  10. 10.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  11. 11.✍️ Clear or vague: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”? (a) clear (b) vague
  12. 12.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  13. 13.📋 Planning an AI project: which comes first — test on new photos or fix it and test again? (a) test on new photos (b) fix it and test again
  14. 14.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
  15. 15.🪜 What does this prompt ask for? “Explain each step of balancing this equation.” (a) asks only for the answer (b) asks for steps
  16. 16.True or false: “a one-time password” should be kept private — never share it with an AI chatbot. (a) True (b) False
  17. 17.📖 An AI chatbot gives a quote and a source. What should you do? (a) add more quotes (b) delete your notes (c) copy it straight away (d) check the source is real
  18. 18.🎯 Ananya’s fruit sorter was tested on 50 new fruit photos and got 28 right. What is its accuracy in percent?
  19. 19.True or false: “a grammar doubt” should be kept private — never share it with an AI chatbot. (a) True (b) False
  20. 20.📄 A chapter has 400 words. Aarav asks an AI chatbot for a summary one tenth as long. How many words should the summary have?
  21. 21.True or false: “add your class level” does not make a prompt better. (a) False (b) True
  22. 22.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) many varied examples (d) only one kind of example
  23. 23.Which of these makes a weak prompt better? (a) make it vaguer (b) give an example (c) add exclamation marks (d) add unrelated details
  24. 24.🔍 Which is the odd one out? (a) AI knows everything (b) AI is never wrong (c) AI always checks facts (d) AI learns from data
  25. 25.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  26. 26.📋 Planning an AI project: which comes first — fix it and test again or work out the accuracy? (a) fix it and test again (b) work out the accuracy
  27. 27.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) music or sound (b) text (c) an image
  28. 28.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  29. 29.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) one-sided data (b) balanced data
  30. 30.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) handles unseen examples (d) never learns from data
  31. 31.⏩ When you use an AI app, which happens first: you type a question or the model finds patterns? (a) you type a question (b) the model finds patterns
  32. 32.✔️ An AI chatbot says 16 × 9 = 144. Is that correct or wrong? (a) wrong (b) correct
  33. 33.💬 Does this request help you learn, or do the work for you? “give me a hint” (a) helps you learn (b) does it for you
  34. 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
  35. 35.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) example (b) role (c) task (d) format
  36. 36.Which of these describes how a normal program works? (a) makes a best guess (b) improves with more data (c) spots patterns in data (d) follows fixed rules
  37. 37.📋 Planning an AI project: which comes first — try unseen examples or train the model? (a) try unseen examples (b) train the model
  38. 38.Which of these is a poor way to study with AI? (a) check summaries in books (b) answer before peeking (c) ask why, not just what (d) skipping the textbook
  39. 39.©️ Whose work is it: a map from an atlas? (a) my own work (b) someone else’s work
  40. 40.🔍 Which is the odd one out? (a) the original photo found (b) too good to be true (c) many trusted sources (d) matches the textbook

Answer key

  1. add lots of emojis
  2. your live location
  3. look in your textbook
  4. a fact
  5. flashcards
  6. False
  7. a good fix
  8. 14
  9. add lots of emojis
  10. False
  11. clear
  12. a normal program
  13. test on new photos
  14. a simple rule is enough
  15. asks for steps
  16. True
  17. check the source is real
  18. 56
  19. False
  20. 40
  21. False
  22. only one kind of example
  23. give an example
  24. AI learns from data
  25. adds to bias
  26. work out the accuracy
  27. text
  28. True
  29. one-sided data
  30. never learns from data
  31. you type a question
  32. correct
  33. helps you learn
  34. a prediction
  35. task
  36. follows fixed rules
  37. train the model
  38. skipping the textbook
  39. someone else’s work
  40. too good to be true

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