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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 507 · 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.📝 Honest use or copying: hiding that a picture was AI-made when the rules say tell? (a) not honest (b) honest use
  2. 2.🔎 Checking an AI answer: which do you do first — correct the mistakes or open your textbook? (a) correct the mistakes (b) open your textbook
  3. 3.🛠️ Does this make a weak prompt better: type it twice? (a) a good fix (b) not a fix
  4. 4.Which of these is a prediction? (a) 500 labelled leaf photos (b) the trained program (c) past weather records (d) tomorrow’s rain guess
  5. 5.✨ Generative or not: composing a new tune? (a) makes something new (b) sorts or predicts
  6. 6.🛠️ “Write about animals.” What would improve this prompt most? (a) make it shorter (b) write it in capitals (c) add exclamation marks (d) name animal and format
  7. 7.True or false: a voice app trained only on adult voices is balanced data (fairer for everyone). (a) True (b) False
  8. 8.🧩 Which part of a prompt is this? “Sample: Q: 4 × 2? A: 8” (a) task (b) role (c) context (d) example
  9. 9.Which of these is bad for training a model? (a) examples of every type (b) new data for testing (c) correct labels (d) copies of one photo
  10. 10.🔁 Learning a hard sum with AI: which should you do first — ask for one hint or try the sum yourself? (a) ask for one hint (b) try the sum yourself
  11. 11.📋 Planning an AI project: which comes first — improve data, retest or work out the accuracy? (a) improve data, retest (b) work out the accuracy
  12. 12.🛠️ Which does this job need: showing the time on a clock? (a) a simple rule is enough (b) needs AI (learning)
  13. 13.🧪 You can plan a simple AI project with… (a) only a big robot (b) nothing at all (c) a secret password (d) paper and examples
  14. 14.📰 Before you share a shocking news post, you should… (a) share it fast (b) add more emojis (c) check trusted sources (d) forward to all
  15. 15.True or false: “try the sum on paper” is a real way to check an AI answer. (a) False (b) True
  16. 16.True or false: “Summarise this paragraph.” is the role part of a prompt. (a) True (b) False
  17. 17.🎯 Diya’s fruit sorter is 90% accurate. If it is tested on 10 new fruit photos, how many should it get right?
  18. 18.🔍 Which is the odd one out? (a) checking labels twice (b) testing on training data (c) clear, sharp examples (d) photos in many lights
  19. 19.❌ Saanvi’s spam spotter was tested on 16 new messages and got 15 right. How many did it get wrong?
  20. 20.🧮 Which of these is NOT AI? (a) a spam filter (b) voice typing (c) face unlock (d) a basic calculator
  21. 21.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  22. 22.📋 Planning an AI project: which comes first — work out the accuracy or try unseen examples? (a) work out the accuracy (b) try unseen examples
  23. 23.©️ Does this need credit: a survey you ran in class? (a) needs credit (b) your own work
  24. 24.True or false: “see if the book exists” is NOT a real way to check an AI answer. (a) False (b) True
  25. 25.Which of these describes how AI works? (a) uses rules people wrote (b) one set rule per case (c) spots patterns in data (d) does exactly as coded
  26. 26.💬 Does this request help you learn, or do the work for you? “quiz me on Chapter 3” (a) does it for you (b) helps you learn
  27. 27.Which of these is a good source to check against? (a) the same chatbot again (b) a government website (c) a forwarded message (d) a random comment
  28. 28.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) drawing (c) predicting (d) singing
  29. 29.🗂️ What study help is this prompt asking for? “Shorten my notes on magnets to half a page.” (a) flashcards (b) a practice quiz (c) an explanation (d) a summary
  30. 30.True or false: “One word answer: is 91 prime?” asks only for the final answer. (a) True (b) False
  31. 31.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
  32. 32.📏 Arjun wants a 80-word answer split into 2 equal points. How many words should each point have?
  33. 33.📦 Vihaan collected 150 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  34. 34.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the font size (d) the price
  35. 35.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its screen size (c) its training data (d) its colour
  36. 36.True or false: “You are a science quiz master.” is the example part of a prompt. (a) False (b) True
  37. 37.True or false: “a drawing of a cat on the Moon” asks for text. (a) False (b) True
  38. 38.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
  39. 39.🔁 Learning a hard sum with AI: which should you do first — try the sum yourself or do one more on your own? (a) try the sum yourself (b) do one more on your own
  40. 40.Which of these is a smart way to study with AI? (a) asking only for answers (b) trusting every summary (c) redo wrong questions (d) last-night cramming

Answer key

  1. not honest
  2. open your textbook
  3. not a fix
  4. tomorrow’s rain guess
  5. makes something new
  6. name animal and format
  7. False
  8. example
  9. copies of one photo
  10. try the sum yourself
  11. work out the accuracy
  12. a simple rule is enough
  13. paper and examples
  14. check trusted sources
  15. True
  16. False
  17. 9
  18. testing on training data
  19. 1
  20. a basic calculator
  21. one-sided data
  22. try unseen examples
  23. your own work
  24. False
  25. spots patterns in data
  26. helps you learn
  27. a government website
  28. predicting
  29. a summary
  30. True
  31. no
  32. 40
  33. 120
  34. the right answer tag
  35. its training data
  36. False
  37. False
  38. not spam
  39. try the sum yourself
  40. redo wrong questions

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