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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 55 · 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.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
  2. 2.Which of these does not make a prompt better? (a) type it twice (b) add your class level (c) give an example (d) say what it is for
  3. 3.🧩 Which part of a prompt is this? “Explain how rainbows form.” (a) task (b) context (c) role (d) format
  4. 4.True or false: “a thank-you note to the bus driver” asks for text. (a) True (b) False
  5. 5.🪜 What does this prompt ask for? “Give me just the answers to all 10 sums.” (a) asks for steps (b) asks only for the answer
  6. 6.🔍 Which is the odd one out? (a) predicting rain (b) writing quiz questions (c) drafting a letter (d) making up a story
  7. 7.🔍 Which is the odd one out? (a) calm, factual words (b) a shocking headline (c) too good to be true (d) shadows going two ways
  8. 8.✍️ Which prompt is clearer?
    A: “Give me 10 questions on the 7 times table, with answers at the end.”
    B: “Give me some maths.”
    (a) Prompt A (b) Prompt B
  9. 9.📰 A post says, “Share before it gets deleted!” This is… (a) a good sign (b) a warning sign (c) a fact check (d) a source
  10. 10.True or false: “say what it is for” does not make a prompt better. (a) True (b) False
  11. 11.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
  12. 12.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
  13. 13.Which of these is generative AI (it makes something new)? (a) spotting a sick leaf (b) unlocking with a face (c) sorting photos by face (d) creating a cartoon
  14. 14.🔎 How can you check where a photo first came from? (a) print it out (b) zoom in on it (c) share it more (d) a reverse image search
  15. 15.Which of these is stage 3 (practise alone)? (a) ask how to start (b) do one more on your own (c) ask for the steps (d) ask for one hint
  16. 16.Which of these is bad for training a model? (a) new data for testing (b) many varied examples (c) photos in many lights (d) labels added at random
  17. 17.True or false: “Give a numbered list.” is the role part of a prompt. (a) True (b) False
  18. 18.🔍 Which is the odd one out? (a) a maths sum to explain (b) a riddle to solve (c) a topic for a quiz (d) a photo of your friend
  19. 19.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
  20. 20.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) very few examples (d) checking labels twice
  21. 21.True or false: a keyboard guessing your next word is AI predicting something. (a) True (b) False
  22. 22.📱 What is the AI doing here: a keyboard guessing your next word? (a) predicting (b) recommending (c) generating (d) recognising
  23. 23.🔍 Which is the odd one out? (a) clear, sharp examples (b) labels added at random (c) wrong labels (d) blurry, unclear photos
  24. 24.True or false: “what training builds” is training data. (a) True (b) False
  25. 25.🔁 What is the right order in a simple AI app? (a) input → model → output (b) output → input → model (c) model → output → input
  26. 26.True or false: an app asking for your location is fine to do by yourself. (a) True (b) False
  27. 27.📚 Good or bad for training a model: wrong labels? (a) bad for training (b) good for training
  28. 28.True or false: mangoes both raw and ripe is one-sided data (likely to make a biased model). (a) True (b) False
  29. 29.Which of these makes a weak prompt better? (a) use unclear slang (b) add lots of emojis (c) make it vaguer (d) name the exact topic
  30. 30.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) True (b) False
  31. 31.🔍 Which is the odd one out? (a) matches the textbook (b) no date or author (c) many trusted sources (d) a clear date
  32. 32.Which of these is stage 1 (try it yourself)? (a) attempt it on paper (b) do one more on your own (c) ask for one hint (d) try a similar sum alone
  33. 33.True or false: “answers at the end” says what to include. (a) False (b) True
  34. 34.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
  35. 35.📋 Planning an AI project: which comes first — try unseen examples or correct bad labels? (a) try unseen examples (b) correct bad labels
  36. 36.Which of these is NOT a good source to check against? (a) a library book (b) the same chatbot again (c) a government website (d) your teacher
  37. 37.✍️ Clear or vague: “List 3 causes of floods in simple words, one line each.”? (a) clear (b) vague
  38. 38.📝 Honest use or copying: getting it to solve every sum without trying? (a) honest use (b) not honest
  39. 39.True or false: turning off a chatbot that feels wrong means you should ask a parent or teacher first. (a) False (b) True
  40. 40.🎯 Diya’s spam spotter was tested on 25 new messages and got 15 right. What is its accuracy in percent?

Answer key

  1. what training builds
  2. type it twice
  3. task
  4. True
  5. asks only for the answer
  6. predicting rain
  7. calm, factual words
  8. Prompt A
  9. a warning sign
  10. False
  11. False
  12. work out the accuracy
  13. creating a cartoon
  14. a reverse image search
  15. do one more on your own
  16. labels added at random
  17. False
  18. a photo of your friend
  19. good for training
  20. very few examples
  21. True
  22. predicting
  23. clear, sharp examples
  24. False
  25. input → model → output
  26. False
  27. bad for training
  28. False
  29. name the exact topic
  30. True
  31. no date or author
  32. attempt it on paper
  33. True
  34. not AI
  35. correct bad labels
  36. the same chatbot again
  37. clear
  38. not honest
  39. False
  40. 60

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