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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 491 · 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.🔎 Before sharing a surprising post, which comes first — notice your feelings or check the author? (a) notice your feelings (b) check the author
  2. 2.🧩 “Answer in a table.” This part of a prompt is the… (a) role (b) task (c) context (d) format
  3. 3.🔍 Which is the odd one out? (a) unlocking with a face (b) spotting spam (c) turning speech to text (d) inventing a recipe
  4. 4.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
  5. 5.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a louder speaker (b) fewer examples (c) more labelled examples (d) a new colour screen
  6. 6.🔢 How many words are in this prompt?
    “Explain why leaves are green for a Class 5 student.”
  7. 7.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) suggesting a video (c) sorting photos by face (d) predicting rain
  8. 8.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
  9. 9.True or false: “Rhymes.” is a clear prompt. (a) False (b) True
  10. 10.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
  11. 11.🖼️ Which sign can show a picture was AI-made? (a) a clear caption (b) a named photographer (c) a calm sky (d) six fingers on a hand
  12. 12.Which of these makes a weak prompt better? (a) add unrelated details (b) split into small asks (c) write it in capitals (d) add lots of emojis
  13. 13.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
  14. 14.🏠 AI or not AI: a microwave timer? (a) not AI (b) uses AI
  15. 15.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
  16. 16.🔍 Which is the odd one out? (a) give an example (b) add a word limit (c) say what it is for (d) add lots of emojis
  17. 17.🪜 Before asking AI for steps on homework, you should first… (a) copy a friend (b) give up (c) try it yourself (d) ask for the answer
  18. 18.🛠️ Which does this job need: reading messy handwriting? (a) a simple rule is enough (b) needs AI (learning)
  19. 19.✨ Generative or not: suggesting a video? (a) makes something new (b) sorts or predicts
  20. 20.Which of these is the model? (a) 500 labelled leaf photos (b) naming a new leaf (c) what training builds (d) labelled fruit photos
  21. 21.Which of these is the model? (a) your typed question (b) the label “cat” (c) the patterns it learned (d) a photo you upload
  22. 22.🔍 Which is the odd one out? (a) a map from an atlas (b) a picture I drew (c) a story I made up (d) a poem I wrote
  23. 23.True or false: “Pretend you are a travel guide.” is the task part of a prompt. (a) False (b) True
  24. 24.True or false: “Make 8 cards on the parts of a flower.” is asking for an explanation. (a) True (b) False
  25. 25.True or false: “a bank card number” should be kept private — never share it with an AI chatbot. (a) True (b) False
  26. 26.🛠️ Does this make a weak prompt better: ask for steps? (a) not a fix (b) a good fix
  27. 27.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  28. 28.📰 Before you share a shocking news post, you should… (a) add more emojis (b) share it fast (c) forward to all (d) check trusted sources
  29. 29.True or false: “One word answer: is 91 prime?” asks the AI to show the steps. (a) True (b) False
  30. 30.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  31. 31.True or false: “long answers are true” is a fact about AI. (a) True (b) False
  32. 32.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
  33. 33.🔍 Which is the odd one out? (a) says not to tell parents (b) suggests practice (c) urges you to click links (d) asks to keep a secret
  34. 34.Which of these is stage 2 (ask for help)? (a) have a go on your own (b) ask for one hint (c) solve a new one alone (d) do one more on your own
  35. 35.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) singing (c) drawing (d) sleeping
  36. 36.True or false: “AI copies data patterns” is a fact about AI. (a) False (b) True
  37. 37.📲 Input, model or output: “a photo you upload”? (a) the input (b) the model (c) the output
  38. 38.🔎 Before sharing a surprising post, which comes first — look at the source or report it if fake? (a) look at the source (b) report it if fake
  39. 39.🎯 Diya’s fruit sorter was tested on 50 new fruit photos and got 42 right. What is its accuracy in percent?
  40. 40.💬 Rule-based or learning chatbot: “guesses likely replies”? (a) learning (b) rule-based

Answer key

  1. notice your feelings
  2. format
  3. inventing a recipe
  4. a hallucination
  5. more labelled examples
  6. 10
  7. drawing a new picture
  8. more varied data
  9. False
  10. spam
  11. six fingers on a hand
  12. split into small asks
  13. not spam
  14. not AI
  15. to see if it works
  16. add lots of emojis
  17. try it yourself
  18. needs AI (learning)
  19. sorts or predicts
  20. what training builds
  21. the patterns it learned
  22. a map from an atlas
  23. False
  24. False
  25. True
  26. a good fix
  27. adds to bias
  28. check trusted sources
  29. False
  30. balanced data
  31. False
  32. rule-based
  33. suggests practice
  34. ask for one hint
  35. predicting
  36. True
  37. the input
  38. look at the source
  39. 84
  40. learning

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