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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 83 · 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.True or false: “matches key words” describes a learning chatbot. (a) False (b) True
  2. 2.True or false: a photo you took on the school trip needs credit (say where it came from). (a) False (b) True
  3. 3.📏 What kind of constraint is “with one example”? (a) a reading level (b) a length limit (c) what to include (d) a style or tone
  4. 4.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  5. 5.🧩 Which part of a prompt is this? “Answer in 3 bullet points.” (a) context (b) example (c) format (d) task
  6. 6.🔍 Which is the odd one out? (a) photos in many lights (b) many varied examples (c) clear, sharp examples (d) copies of one photo
  7. 7.🎂 Ask an adult first, or fine to do yourself: turning off a chatbot that feels wrong? (a) ask an adult first (b) fine to do yourself
  8. 8.📖 Is this a good source to check an AI answer against: an encyclopedia? (a) a good source (b) not a good source
  9. 9.🔍 Which is the odd one out? (a) a torch (b) a map predicting traffic (c) an image generator (d) video suggestions
  10. 10.True or false: “Why does the Moon change shape? Explain for Class 6.” is asking for flashcards. (a) True (b) False
  11. 11.True or false: asking for a simpler explanation of a chapter is NOT honest use. (a) False (b) True
  12. 12.Which of these describes how a normal program works? (a) gives a likely answer (b) makes a best guess (c) one set rule per case (d) learns from examples
  13. 13.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) trust the textbook (c) share it online (d) stop studying
  14. 14.Which of these is a good source to check against? (a) a rumour from a friend (b) the same chatbot again (c) a funny meme (d) your teacher
  15. 15.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  16. 16.True or false: “new data for testing” is good for training a model. (a) True (b) False
  17. 17.❌ Vihaan’s fruit sorter was tested on 17 new fruit photos and got 14 right. How many did it get wrong?
  18. 18.🔒 An AI chatbot asks for your home address. What should you do? (a) say no, tell an adult (b) share it quickly (c) give a friend’s (d) share half of it
  19. 19.Which of these is a good sign (but still check)? (a) a background that bends (b) too good to be true (c) a shocking headline (d) fits other reports
  20. 20.©️ Whose work is it: a photo from a website? (a) my own work (b) someone else’s work
  21. 21.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
  22. 22.True or false: “a summary of chapter 3” asks for an image. (a) False (b) True
  23. 23.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
  24. 24.🔍 Which is the odd one out? (a) correct labels (b) labels added at random (c) examples of every type (d) checking labels twice
  25. 25.True or false: “find a trusted source” is a real way to check an AI answer. (a) False (b) True
  26. 26.Which of these is a fact about AI? (a) AI has real feelings (b) AI can be wrong (c) long answers are true (d) AI is never wrong
  27. 27.🪜 Before asking AI for steps on homework, you should first… (a) give up (b) ask for the answer (c) try it yourself (d) copy a friend
  28. 28.🎯 Diya’s handwriting reader was tested on 4 new handwritten letters and got 2 right. What is its accuracy in percent?
  29. 29.💬 Does this request help you learn, or do the work for you? “write my poem for me” (a) helps you learn (b) does it for you
  30. 30.🔒 Keep it private or okay to share with an AI chatbot: a one-time password? (a) keep it private (b) okay to share
  31. 31.🧪 You can plan a simple AI project with… (a) paper and examples (b) only a big robot (c) a secret password (d) nothing at all
  32. 32.⏩ In machine learning, which comes first: past weather records or tomorrow’s rain guess? (a) past weather records (b) tomorrow’s rain guess
  33. 33.Which of these sets the reading level? (a) include 2 Indian rivers (b) in a formal tone (c) for a Class 3 student (d) in 2 lines only
  34. 34.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) recommending (b) recognising (c) generating (d) predicting
  35. 35.True or false: “split into small asks” makes a weak prompt better. (a) True (b) False
  36. 36.Which of these is someone else’s work (credit it)? (a) my own survey results (b) a song on the radio (c) a photo I took (d) a picture I drew
  37. 37.True or false: “AI can make up facts” is a fact about AI. (a) True (b) False
  38. 38.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) training data (c) a prediction (d) a password
  39. 39.📚 Good or bad for training a model: labels added at random? (a) bad for training (b) good for training
  40. 40.🛠️ Does this make a weak prompt better: give an example? (a) not a fix (b) a good fix

Answer key

  1. False
  2. False
  3. what to include
  4. correct bad labels
  5. format
  6. copies of one photo
  7. fine to do yourself
  8. a good source
  9. a torch
  10. False
  11. False
  12. one set rule per case
  13. trust the textbook
  14. your teacher
  15. one-sided data
  16. True
  17. 3
  18. say no, tell an adult
  19. fits other reports
  20. someone else’s work
  21. not AI
  22. False
  23. good for training
  24. labels added at random
  25. True
  26. AI can be wrong
  27. try it yourself
  28. 50
  29. does it for you
  30. keep it private
  31. paper and examples
  32. past weather records
  33. for a Class 3 student
  34. generating
  35. True
  36. a song on the radio
  37. True
  38. a prediction
  39. bad for training
  40. a good fix

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