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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 134 · 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 is the odd one out? (a) “give me a hint” (b) “check my draft” (c) “explain this step” (d) “answer all 10 sums”
  2. 2.🔍 Which is the odd one out? (a) a story I made up (b) a cartoon from a comic (c) a classmate’s drawing (d) a photo from a website
  3. 3.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a hallucination (c) a summary (d) a backup
  4. 4.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) sleeping (b) singing (c) drawing (d) predicting
  5. 5.🧩 Which part of a prompt is this? “Give a numbered list.” (a) format (b) role (c) task (d) example
  6. 6.True or false: “I have a test on Friday.” is the task part of a prompt. (a) False (b) True
  7. 7.📏 What kind of constraint is “include 2 Indian rivers”? (a) a style or tone (b) what to include (c) a length limit (d) a reading level
  8. 8.🧐 Fact or myth: “long answers are true”? (a) a fact (b) a myth
  9. 9.🔒 Keep it private or okay to share with an AI chatbot: a story idea? (a) okay to share (b) keep it private
  10. 10.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  11. 11.True or false: “offers a quiz” is normal for a study chatbot. (a) False (b) True
  12. 12.🎯 Nisha’s spam spotter is 80% accurate. If it is tested on 50 new messages, how many should it get right?
  13. 13.Which of these is a fact about AI? (a) AI has real feelings (b) AI answers need checking (c) AI is never wrong (d) AI knows everything
  14. 14.💬 Rule-based or learning chatbot: “guesses likely replies”? (a) learning (b) rule-based
  15. 15.🔎 Checking an AI answer: which do you do first — match every number or correct the mistakes? (a) match every number (b) correct the mistakes
  16. 16.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) making up a story (c) writing a new poem (d) sorting photos by face
  17. 17.🏠 AI or not AI: a torch? (a) uses AI (b) not AI
  18. 18.Which of these is the output? (a) the part that decides (b) the typed reply (c) a photo you upload (d) the trained AI part
  19. 19.🔒 Is it safe to type your password into an AI chatbot? (a) no, never (b) only short ones (c) yes
  20. 20.🛠️ Which is the improved prompt?
    A: “Project ideas?”
    B: “Suggest 3 project ideas on saving electricity at home that cost under ₹100.”
    (a) Prompt A (b) Prompt B
  21. 21.✍️ 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
  22. 22.🤖 What does AI stand for? (a) actual information (b) artificial intelligence (c) automatic internet (d) app installer
  23. 23.🚩 A study chatbot asks for money. Is that a red flag? (a) normal (b) a red flag
  24. 24.True or false: “five quiz questions on fractions” asks for music or sound. (a) False (b) True
  25. 25.🪜 Why ask an AI chatbot to show the steps? (a) to make it slower (b) to learn the method (c) to copy faster (d) to get a longer answer
  26. 26.🔒 Can you upload a photo of your friend to an AI app? (a) yes, any time (b) no, never (c) yes, if it is funny
  27. 27.True or false: “your home address” is okay to share with an AI chatbot. (a) True (b) False
  28. 28.🖼️ Which sign can show a picture was AI-made? (a) six fingers on a hand (b) a named photographer (c) a clear caption (d) a calm sky
  29. 29.🔍 Which is the odd one out? (a) AI has real feelings (b) AI is never wrong (c) AI can mix up numbers (d) AI always checks facts
  30. 30.True or false: a photo you took on the school trip needs credit (say where it came from). (a) False (b) True
  31. 31.🔁 Training data, the model or a prediction: “past weather records”? (a) a prediction (b) the model (c) training data
  32. 32.Which of these is good for training a model? (a) very few examples (b) checking labels twice (c) labels added at random (d) copies of one photo
  33. 33.🔍 Which is the odd one out? (a) photos grouped by face (b) a printed timetable (c) face unlock on a phone (d) video suggestions
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) a prediction (b) the model (c) training data
  35. 35.🛠️ Which is the improved prompt?
    A: “Describe a rainforest in 80 words for a story opening, using all five senses.”
    B: “Describe a forest.”
    (a) Prompt A (b) Prompt B
  36. 36.Which of these is good for training a model? (a) labels added at random (b) new data for testing (c) copies of one photo (d) blurry, unclear photos
  37. 37.🔍 Which is the odd one out? (a) asks for money (b) gives an example (c) asks for your address (d) says not to tell parents
  38. 38.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) task (b) role (c) context (d) format
  39. 39.✍️ Which prompt is clearer?
    A: “List 3 causes of floods in simple words, one line each.”
    B: “Why floods?”
    (a) Prompt A (b) Prompt B
  40. 40.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction

Answer key

  1. “answer all 10 sums”
  2. a story I made up
  3. a hallucination
  4. predicting
  5. format
  6. False
  7. what to include
  8. a myth
  9. okay to share
  10. True
  11. True
  12. 40
  13. AI answers need checking
  14. learning
  15. match every number
  16. sorting photos by face
  17. not AI
  18. the typed reply
  19. no, never
  20. Prompt B
  21. Prompt A
  22. artificial intelligence
  23. a red flag
  24. False
  25. to learn the method
  26. no, never
  27. False
  28. six fingers on a hand
  29. AI can mix up numbers
  30. False
  31. training data
  32. checking labels twice
  33. a printed timetable
  34. training data
  35. Prompt A
  36. new data for testing
  37. gives an example
  38. task
  39. Prompt A
  40. the model

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