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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 989 · 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.✨ Generative or not: drafting a letter? (a) sorts or predicts (b) makes something new
  2. 2.🛠️ What helps make an AI system fairer? (a) one group only (b) ignoring mistakes (c) more varied data (d) fewer tests
  3. 3.🛠️ Does this make a weak prompt better: make it vaguer? (a) not a fix (b) a good fix
  4. 4.©️ What does “giving credit” mean? (a) saying who made it (b) adding a filter (c) hiding the source (d) paying with a card
  5. 5.✍️ Clear or vague: “Trip list.”? (a) vague (b) clear
  6. 6.Which of these is generative AI (it makes something new)? (a) drawing a new picture (b) suggesting a video (c) spotting spam (d) reading number plates
  7. 7.True or false: a quote from a library book in your essay needs credit (say where it came from). (a) True (b) False
  8. 8.🔍 Which is the odd one out? (a) a picture I drew (b) a quote from a book (c) a photo I took (d) my own diary
  9. 9.🔒 Can you upload a photo of your friend to an AI app? (a) yes, any time (b) yes, if it is funny (c) no, never
  10. 10.True or false: “my own diary” is my own work. (a) True (b) False
  11. 11.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
  12. 12.⏩ When you use an AI app, which happens first: the reply appears or the model finds patterns? (a) the reply appears (b) the model finds patterns
  13. 13.Which of these helps reduce bias? (a) test on many groups (b) copy old unfair choices (c) use one group only (d) ignore complaints
  14. 14.🗂️ An AI made you a summary. What should you do next? (a) check it with the book (b) delete the book (c) learn it blindly (d) share it as yours
  15. 15.📝 Honest use or copying: checking your answer after you have tried? (a) honest use (b) not honest
  16. 16.🪜 An AI shows steps for a sum. What should you do with them? (a) copy them blindly (b) ignore them (c) delete them (d) check each step
  17. 17.True or false: a photo from a website in your slides is your own work (no credit needed). (a) True (b) False
  18. 18.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recommending (b) recognising (c) predicting (d) generating
  19. 19.🛠️ Which is the improved prompt?
    A: “States and capitals.”
    B: “Make a table of 5 Indian states with their capitals and one famous food each.”
    (a) Prompt A (b) Prompt B
  20. 20.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a song about dogs (b) one single photo (c) many labelled photos (d) a list of rules only
  21. 21.🎯 Vihaan’s leaf identifier was tested on 25 new leaf photos and got 13 right. What is its accuracy in percent?
  22. 22.⏩ When you use an AI app, which happens first: the model finds patterns or you type a question? (a) the model finds patterns (b) you type a question
  23. 23.🧮 Which of these is NOT AI? (a) a basic calculator (b) face unlock (c) voice typing (d) a spam filter
  24. 24.True or false: “many varied examples” is good for training a model. (a) False (b) True
  25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Earn ₹50,000 a day from home!!!” (a) spam (b) not spam
  26. 26.📰 A post says, “Share before it gets deleted!” This is… (a) a source (b) a fact check (c) a warning sign (d) a good sign
  27. 27.True or false: switching on a street light at 6 pm needs AI that learns from examples. (a) True (b) False
  28. 28.True or false: “Pretend you are a travel guide.” is the example part of a prompt. (a) False (b) True
  29. 29.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  30. 30.🧮 An AI chatbot says 14 × 9 = 125. Check it yourself: what is 14 × 9?
  31. 31.Which of these describes how AI works? (a) same steps every time (b) one set rule per case (c) uses rules people wrote (d) gives a likely answer
  32. 32.🛠️ Which does this job need: switching on a street light at 6 pm? (a) a simple rule is enough (b) needs AI (learning)
  33. 33.✍️ Clear or vague: “Give me some maths.”? (a) vague (b) clear
  34. 34.📖 Is this a good source to check an AI answer against: a science museum site? (a) a good source (b) not a good source
  35. 35.🤖 Does an AI system think and feel like a person? (a) yes, just like us (b) yes, it gets sad (c) only on weekends (d) no, it finds patterns
  36. 36.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) data, model, prediction (d) model, prediction, data
  37. 37.Which of these is a myth about AI? (a) confident means correct (b) AI can mix up numbers (c) AI learns from data (d) AI answers need checking
  38. 38.True or false: “the learned patterns” is the model. (a) True (b) False
  39. 39.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) the phone was new (c) few child voices in data (d) it was a rainy day
  40. 40.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)

Answer key

  1. makes something new
  2. more varied data
  3. not a fix
  4. saying who made it
  5. vague
  6. drawing a new picture
  7. True
  8. a quote from a book
  9. no, never
  10. True
  11. needs AI (learning)
  12. the model finds patterns
  13. test on many groups
  14. check it with the book
  15. honest use
  16. check each step
  17. False
  18. predicting
  19. Prompt B
  20. many labelled photos
  21. 52
  22. you type a question
  23. a basic calculator
  24. True
  25. spam
  26. a warning sign
  27. False
  28. False
  29. good for training
  30. 126
  31. gives a likely answer
  32. a simple rule is enough
  33. vague
  34. a good source
  35. no, it finds patterns
  36. data, model, prediction
  37. confident means correct
  38. True
  39. few child voices in data
  40. a simple rule is enough

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