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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 963 · 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.🤖 AI or a normal program: which one “same steps every time”? (a) a normal program (b) AI
  2. 2.Which of these is the model? (a) the label “cat” (b) the generated picture (c) a photo you upload (d) the trained AI part
  3. 3.Which of these uses AI? (a) an AI chatbot (b) a light switch (c) a doorbell (d) a digital watch
  4. 4.✅ Is this a real check of an AI answer: asking the same AI again? (a) a real check (b) not a real check
  5. 5.📝 Honest use or copying: getting ideas, then writing in your own words? (a) not honest (b) honest use
  6. 6.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) no, check it anyway (c) yes, if it is long
  7. 7.💬 Rule-based or learning chatbot: “fails on new wording”? (a) rule-based (b) learning
  8. 8.📖 An AI chatbot gives a quote and a source. What should you do? (a) check the source is real (b) copy it straight away (c) add more quotes (d) delete your notes
  9. 9.Which of these is a myth about AI? (a) AI has real feelings (b) AI can be wrong (c) AI can make up facts (d) AI copies data patterns
  10. 10.True or false: “Give 5 quiz questions on the solar system with 4 options each.” is a clear prompt. (a) True (b) False
  11. 11.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) ignore them (c) check each step (d) copy them blindly
  12. 12.True or false: “a photo of your friend” is okay to share with an AI chatbot. (a) False (b) True
  13. 13.Which of these is generative AI (it makes something new)? (a) suggesting a video (b) predicting rain (c) spotting spam (d) writing quiz questions
  14. 14.💬 Rule-based or learning chatbot: “handles new wording”? (a) learning (b) rule-based
  15. 15.True or false: the request “explain this step” helps you learn. (a) False (b) True
  16. 16.©️ Does this need credit: a chart you made from your own data? (a) your own work (b) needs credit
  17. 17.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) adds to bias (b) reduces bias
  18. 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  19. 19.🛠️ Which does this job need: turning spoken words into typed text? (a) needs AI (learning) (b) a simple rule is enough
  20. 20.🔍 Which is the odd one out? (a) AI learns from data (b) AI always checks facts (c) AI can make up facts (d) AI can be wrong
  21. 21.📚 Good or bad for training a model: very few examples? (a) good for training (b) bad for training
  22. 22.True or false: photos of people of many ages and skin tones is balanced data (fairer for everyone). (a) False (b) True
  23. 23.✨ Generative or not: creating a cartoon? (a) makes something new (b) sorts or predicts
  24. 24.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
  25. 25.🏷️ 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
  26. 26.🪜 Why ask an AI chatbot to show the steps? (a) to make it slower (b) to copy faster (c) to get a longer answer (d) to learn the method
  27. 27.True or false: “AI can be wrong” is a myth about AI. (a) False (b) True
  28. 28.✍️ Clear or vague: “List 6 science fair ideas about water that use cheap materials.”? (a) clear (b) vague
  29. 29.Which of these is NOT a good source to check against? (a) a library book (b) a funny meme (c) a science museum site (d) your teacher
  30. 30.🔁 Learning a hard sum with AI: which should you do first — try the sum yourself or ask how to start? (a) try the sum yourself (b) ask how to start
  31. 31.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) True (b) False
  32. 32.📋 Planning an AI project: which comes first — work out the accuracy or let it learn patterns? (a) work out the accuracy (b) let it learn patterns
  33. 33.True or false: “gives a likely answer” describes how AI works. (a) True (b) False
  34. 34.📖 The AI answer and your textbook disagree. What should you do? (a) pick at random (b) skip the question (c) trust the AI (d) ask your teacher
  35. 35.🧠 Machine learning is a way for computers to… (a) print pages (b) learn from data (c) charge faster (d) clean screens
  36. 36.True or false: “Translate ‘Where is the library?’ into Hindi and show how to say it.” is a vague prompt. (a) True (b) False
  37. 37.📋 Planning an AI project: which comes first — collect fruit photos or fix it and test again? (a) collect fruit photos (b) fix it and test again
  38. 38.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
  39. 39.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
  40. 40.🔍 Which is the odd one out? (a) check who is missing (b) test on many groups (c) balance the data (d) ignore complaints

Answer key

  1. a normal program
  2. the trained AI part
  3. an AI chatbot
  4. not a real check
  5. honest use
  6. no, check it anyway
  7. rule-based
  8. check the source is real
  9. AI has real feelings
  10. True
  11. check each step
  12. False
  13. writing quiz questions
  14. learning
  15. True
  16. your own work
  17. adds to bias
  18. bias from data
  19. needs AI (learning)
  20. AI always checks facts
  21. bad for training
  22. True
  23. makes something new
  24. bad for training
  25. spam
  26. to learn the method
  27. False
  28. clear
  29. a funny meme
  30. try the sum yourself
  31. False
  32. let it learn patterns
  33. True
  34. ask your teacher
  35. learn from data
  36. False
  37. collect fruit photos
  38. predicting
  39. makes new content
  40. ignore complaints

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