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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 512 · 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.🎯 Ananya’s recycling sorter is 70% accurate. If it is tested on 40 new waste photos, how many should it get right?
  2. 2.✍️ Clear or vague: “Write a message.”? (a) clear (b) vague
  3. 3.🔍 Which is the odd one out? (a) unlocking with a face (b) suggesting a video (c) reading number plates (d) drafting a letter
  4. 4.🛠️ Does this make a weak prompt better: add lots of emojis? (a) not a fix (b) a good fix
  5. 5.🛠️ Does this make a weak prompt better: add your class level? (a) not a fix (b) a good fix
  6. 6.🧩 Which part of a prompt is this? “Give a numbered list.” (a) role (b) task (c) context (d) format
  7. 7.Which of these is normal for a study chatbot? (a) gives an example (b) asks for photos of you (c) asks for your address (d) says not to tell parents
  8. 8.✍️ Which prompt is clearer?
    A: “Give 5 English words that rhyme with ‘cat’, suitable for Class 2.”
    B: “Rhymes.”
    (a) Prompt A (b) Prompt B
  9. 9.True or false: “easy to trace why” describes a learning chatbot. (a) True (b) False
  10. 10.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  11. 11.Which of these is generative AI (it makes something new)? (a) spotting spam (b) reading number plates (c) creating a cartoon (d) unlocking with a face
  12. 12.✍️ Which prompt is clearer?
    A: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.”
    B: “Food ideas?”
    (a) Prompt A (b) Prompt B
  13. 13.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
  14. 14.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  15. 15.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
  16. 16.⏩ In machine learning, which comes first: the trained program or past weather records? (a) the trained program (b) past weather records
  17. 17.Which of these does not make a prompt better? (a) add unrelated details (b) say the format you want (c) add your class level (d) say what it is for
  18. 18.🏷️ 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
  19. 19.True or false: joining an online AI contest is fine to do by yourself. (a) True (b) False
  20. 20.🔒 An AI chatbot asks for your home address. What should you do? (a) share it quickly (b) share half of it (c) give a friend’s (d) say no, tell an adult
  21. 21.🔍 Which is the odd one out? (a) a topic for a quiz (b) your phone number (c) your password (d) a one-time password
  22. 22.Which of these uses AI? (a) a printed timetable (b) an image generator (c) a fan regulator (d) a calculator
  23. 23.Which of these is okay to share with an AI chatbot? (a) your name and school (b) your live location (c) a bank card number (d) a chapter name
  24. 24.True or false: “a history question” is okay to share with an AI chatbot. (a) True (b) False
  25. 25.True or false: asking what a hard word means is an honest way to use AI for homework. (a) False (b) True
  26. 26.Which of these is good for training a model? (a) blurry, unclear photos (b) wrong labels (c) copies of one photo (d) new data for testing
  27. 27.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to change its name (d) to delete its data
  28. 28.📏 What kind of constraint is “in one short paragraph”? (a) what to include (b) a length limit (c) a style or tone (d) a reading level
  29. 29.🧩 Which part of a prompt is this? “Explain how rainbows form.” (a) role (b) context (c) task (d) example
  30. 30.🖼️ Warning sign or good sign: the original photo found? (a) a warning sign (b) a good sign
  31. 31.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) drawing (b) predicting (c) singing (d) sleeping
  32. 32.🛠️ Which is the improved prompt?
    A: “Give 4 tips to speak confidently in assembly, in simple words.”
    B: “Speaking tips.”
    (a) Prompt A (b) Prompt B
  33. 33.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
  34. 34.Which of these is normal for a study chatbot? (a) asks to meet in person (b) asks for money (c) explains a topic (d) asks for a password
  35. 35.⚖️ Two spam spotter models were tested on the same 50 messages. Model A got 50 right and Model B got 32 right. How many percentage points more accurate is Model A?
  36. 36.🔍 Which is the odd one out? (a) AI has real feelings (b) AI knows everything (c) AI can be wrong (d) AI is never wrong
  37. 37.📏 What kind of constraint is “include 2 Indian rivers”? (a) a reading level (b) a style or tone (c) what to include (d) a length limit
  38. 38.🔁 Learning a hard sum with AI: which should you do first — try a similar sum alone or ask how to start? (a) try a similar sum alone (b) ask how to start
  39. 39.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
  40. 40.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model

Answer key

  1. 28
  2. vague
  3. drafting a letter
  4. not a fix
  5. a good fix
  6. format
  7. gives an example
  8. Prompt A
  9. False
  10. makes something new
  11. creating a cartoon
  12. Prompt A
  13. True
  14. a prediction
  15. not AI
  16. past weather records
  17. add unrelated details
  18. not spam
  19. False
  20. say no, tell an adult
  21. a topic for a quiz
  22. an image generator
  23. a chapter name
  24. True
  25. True
  26. new data for testing
  27. to see if it works
  28. a length limit
  29. task
  30. a good sign
  31. predicting
  32. Prompt A
  33. test on new photos
  34. explains a topic
  35. 36
  36. AI can be wrong
  37. what to include
  38. ask how to start
  39. spam
  40. a prediction

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