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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 182 · 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 of these is someone else’s work (credit it)? (a) my own diary (b) my own survey results (c) a photo I took (d) a photo from a website
  2. 2.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) singing (b) sleeping (c) drawing (d) predicting
  3. 3.🧮 An AI chatbot adds 39 + 19 + 44 and gets 112. What is the correct total?
  4. 4.🔍 Which is the odd one out? (a) your spelling list (b) a photo of your friend (c) your name and school (d) your school ID number
  5. 5.True or false: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.” is a vague prompt. (a) True (b) False
  6. 6.🧩 Which part of a prompt is this? “Answer in 3 bullet points.” (a) context (b) task (c) role (d) format
  7. 7.True or false: an AI chatbot writing a poem about rain is AI generating something new. (a) True (b) False
  8. 8.⏩ When you use an AI app, which happens first: the model finds patterns or the reply appears? (a) the model finds patterns (b) the reply appears
  9. 9.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for one hint? (a) solve a new one alone (b) ask for one hint
  10. 10.✔️ An AI chatbot says 13 × 5 = 65. Is that correct or wrong? (a) wrong (b) correct
  11. 11.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) the model (b) training data (c) a prediction
  12. 12.📲 Input, model or output: “the translated text”? (a) the output (b) the model (c) the input
  13. 13.🔒 Keep it private or okay to share with an AI chatbot: a photo of your friend? (a) keep it private (b) okay to share
  14. 14.Which of these is a fact about AI? (a) AI knows everything (b) AI always checks facts (c) AI has real feelings (d) AI copies data patterns
  15. 15.📦 Tara collected 40 labelled waste photos for a recycling sorter and keeps one fifth of them for testing. How many are left for training?
  16. 16.🔎 Checking an AI answer: which do you do first — fix your notes or match every number? (a) fix your notes (b) match every number
  17. 17.Which of these is a smart way to study with AI? (a) last-night cramming (b) redo wrong questions (c) skipping the textbook (d) reading answers only
  18. 18.🔍 Which is the odd one out? (a) a chart from the news (b) a picture I drew (c) my own diary (d) my own survey results
  19. 19.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
  20. 20.🛠️ Which is the improved prompt?
    A: “New words.”
    B: “Give me 6 new English words with meanings and one sentence each, for Class 6.”
    (a) Prompt A (b) Prompt B
  21. 21.True or false: a weather app guessing tomorrow’s rain is AI predicting something. (a) False (b) True
  22. 22.🔎 Checking an AI answer: which do you do first — find the same topic or correct the mistakes? (a) find the same topic (b) correct the mistakes
  23. 23.✔️ An AI chatbot says 18 × 5 = 89. Is that correct or wrong? (a) wrong (b) correct
  24. 24.✍️ Clear or vague: “List 3 causes of floods in simple words, one line each.”? (a) vague (b) clear
  25. 25.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) False (b) True
  26. 26.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
  27. 27.Which of these is my own work? (a) a story I made up (b) a photo from a website (c) a poet’s famous poem (d) a quote from a book
  28. 28.✨ Generative or not: writing quiz questions? (a) sorts or predicts (b) makes something new
  29. 29.✍️ Clear or vague: “Give me some maths.”? (a) clear (b) vague
  30. 30.True or false: “photos in many lights” is bad for training a model. (a) False (b) True
  31. 31.🧪 What is accuracy? (a) correct ÷ total × 100 (b) correct + total (c) total − correct (d) total × 2
  32. 32.⏩ In machine learning, which comes first: naming a new leaf or the trained program? (a) naming a new leaf (b) the trained program
  33. 33.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) turning speech to text (c) sorting photos by face (d) predicting rain
  34. 34.🚩 A study chatbot asks to meet in person. Is that a red flag? (a) normal (b) a red flag
  35. 35.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) no, it finds patterns (c) yes, it gets sad (d) yes, just like us
  36. 36.Which of these describes how AI works? (a) follows fixed rules (b) learns from examples (c) one set rule per case (d) does exactly as coded
  37. 37.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) copy it straight away (b) never do maths (c) ask it to hurry (d) check it on paper
  38. 38.🔎 Before sharing a surprising post, which comes first — compare with others or report it if fake? (a) compare with others (b) report it if fake
  39. 39.🔍 Which is the odd one out? (a) check who is missing (b) add varied examples (c) balance the data (d) skip testing
  40. 40.🔁 Learning a hard sum with AI: which should you do first — ask for the steps or do one more on your own? (a) ask for the steps (b) do one more on your own

Answer key

  1. a photo from a website
  2. predicting
  3. 102
  4. your spelling list
  5. False
  6. format
  7. True
  8. the model finds patterns
  9. ask for one hint
  10. correct
  11. a prediction
  12. the output
  13. keep it private
  14. AI copies data patterns
  15. 32
  16. match every number
  17. redo wrong questions
  18. a chart from the news
  19. good for training
  20. Prompt B
  21. True
  22. find the same topic
  23. wrong
  24. clear
  25. False
  26. makes something new
  27. a story I made up
  28. makes something new
  29. vague
  30. False
  31. correct ÷ total × 100
  32. the trained program
  33. drafting a letter
  34. a red flag
  35. no, it finds patterns
  36. learns from examples
  37. check it on paper
  38. compare with others
  39. skip testing
  40. ask for the steps

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