← Final test: AI for students lesson New set →

AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 316 · 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.✍️ Which prompt is clearer?
    A: “Explain photosynthesis to a Class 6 student in 5 short steps.”
    B: “Tell me about plants.”
    (a) Prompt A (b) Prompt B
  2. 2.🔍 Which is the odd one out? (a) “write my project” (b) “explain it more simply” (c) “explain this step” (d) “where did I go wrong?”
  3. 3.🔁 Learning a hard sum with AI: which should you do first — ask for one hint or attempt it on paper? (a) ask for one hint (b) attempt it on paper
  4. 4.✨ Generative or not: writing a new poem? (a) makes something new (b) sorts or predicts
  5. 5.🏷️ What is a “label” in machine learning? (a) the price (b) a sticker on a laptop (c) the font size (d) the right answer tag
  6. 6.True or false: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.” is a clear prompt. (a) True (b) False
  7. 7.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) not spam (b) spam
  8. 8.Which of these requests does the work for you? (a) “check my draft” (b) “explain this step” (c) “do my worksheet” (d) “quiz me on Chapter 3”
  9. 9.🛠️ The answer was far too long. What should you add? (a) more questions (b) a password (c) a word limit (d) a new topic
  10. 10.🎯 Ananya’s spam spotter is 90% accurate. If it is tested on 60 new messages, how many should it get right?
  11. 11.🎯 Ishaan’s fruit sorter was tested on 4 new fruit photos and got 3 right. What is its accuracy in percent?
  12. 12.📚 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
  13. 13.True or false: “a one-time password” is okay to share with an AI chatbot. (a) True (b) False
  14. 14.Which of these is a good sign (but still check)? (a) too good to be true (b) no date or author (c) shadows going two ways (d) a known news desk
  15. 15.🪜 Why ask an AI chatbot to show the steps? (a) to copy faster (b) to make it slower (c) to get a longer answer (d) to learn the method
  16. 16.🧩 Which part of a prompt says WHAT you want done? (a) the format (b) the role (c) the task (d) the example
  17. 17.📅 An AI gives a date for a history event. How can you check? (a) guess (b) look in your textbook (c) ask it to repeat (d) pick a lucky number
  18. 18.🔎 Checking an AI answer: which do you do first — compare the facts or read the AI answer? (a) compare the facts (b) read the AI answer
  19. 19.🔎 Checking an AI answer: which do you do first — open your textbook or underline each fact? (a) open your textbook (b) underline each fact
  20. 20.True or false: “Solve 3x + 5 = 20 step by step.” asks only for the final answer. (a) False (b) True
  21. 21.⏩ In machine learning, which comes first: the trained program or recorded spoken words? (a) the trained program (b) recorded spoken words
  22. 22.📚 Good or bad for training a model: blurry, unclear photos? (a) good for training (b) bad for training
  23. 23.⏩ In machine learning, which comes first: labelled fruit photos or tomorrow’s rain guess? (a) labelled fruit photos (b) tomorrow’s rain guess
  24. 24.Which of these is a good sign (but still check)? (a) a background that bends (b) a shocking headline (c) many trusted sources (d) shadows going two ways
  25. 25.🔍 Which is the odd one out? (a) your home address (b) a chapter name (c) your name and school (d) your school ID number
  26. 26.True or false: “test on many groups” adds to bias. (a) True (b) False
  27. 27.True or false: an app asking for your date of birth means you should ask a parent or teacher first. (a) False (b) True
  28. 28.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 21 right and Model B got 19 right. How many percentage points more accurate is Model A?
  29. 29.🔍 Which is the odd one out? (a) matches the textbook (b) six fingers on a hand (c) fits other reports (d) a named author
  30. 30.✅ Is this a real check of an AI answer: redo the maths yourself? (a) not a real check (b) a real check
  31. 31.🧐 Fact or myth: “AI knows everything”? (a) a fact (b) a myth
  32. 32.Which of these describes how AI works? (a) never learns from data (b) uses rules people wrote (c) does exactly as coded (d) learns from examples
  33. 33.📷 The app replies “neem leaf”. That reply is the… (a) input (b) output (c) training data
  34. 34.True or false: “flagging a new email” is the model. (a) False (b) True
  35. 35.True or false: “try the sum on paper” is NOT a real way to check an AI answer. (a) True (b) False
  36. 36.🛠️ Does this reduce bias or add to it: add varied examples? (a) adds to bias (b) reduces bias
  37. 37.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) True (b) False
  38. 38.🎯 Nisha’s recycling sorter was tested on 4 new waste photos and got 2 right. What is its accuracy in percent?
  39. 39.True or false: “easy to trace why” describes a learning chatbot. (a) True (b) False
  40. 40.🧠 Machine learning is a way for computers to… (a) print pages (b) clean screens (c) learn from data (d) charge faster

Answer key

  1. Prompt A
  2. “write my project”
  3. attempt it on paper
  4. makes something new
  5. the right answer tag
  6. True
  7. not spam
  8. “do my worksheet”
  9. a word limit
  10. 54
  11. 75
  12. a hallucination
  13. False
  14. a known news desk
  15. to learn the method
  16. the task
  17. look in your textbook
  18. read the AI answer
  19. underline each fact
  20. False
  21. recorded spoken words
  22. bad for training
  23. labelled fruit photos
  24. many trusted sources
  25. a chapter name
  26. False
  27. True
  28. 8
  29. six fingers on a hand
  30. a real check
  31. a myth
  32. learns from examples
  33. output
  34. False
  35. False
  36. reduces bias
  37. False
  38. 50
  39. False
  40. learn from data

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students