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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 868 · 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.💬 Rule-based or learning chatbot: “handles new wording”? (a) learning (b) rule-based
  2. 2.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a summary (d) a password
  3. 3.❌ Ishaan’s leaf identifier was tested on 34 new leaf photos and got 27 right. How many did it get wrong?
  4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
  5. 5.True or false: “Explain how rainbows form.” is the role part of a prompt. (a) True (b) False
  6. 6.True or false: “wrong labels” is bad for training a model. (a) True (b) False
  7. 7.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
  8. 8.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
  9. 9.©️ Who owns the copyright of a song? (a) the person who made it (b) anyone who hears it (c) the radio (d) nobody at all
  10. 10.🔍 Which is the odd one out? (a) a chapter name (b) your phone number (c) a grammar doubt (d) a story idea
  11. 11.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can be wrong (c) AI learns from data (d) AI can mix up numbers
  12. 12.Which of these uses AI? (a) a stopwatch (b) a light switch (c) a microwave timer (d) a map predicting traffic
  13. 13.True or false: “a maths sum to explain” is okay to share with an AI chatbot. (a) False (b) True
  14. 14.❌ Nisha’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
  15. 15.True or false: a music app suggesting a song you may like is AI generating something new. (a) False (b) True
  16. 16.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or try the sum yourself? (a) solve a new one alone (b) try the sum yourself
  17. 17.✍️ Clear or vague: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”? (a) clear (b) vague
  18. 18.Which of these is good for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) only one kind of example (d) wrong labels
  19. 19.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
  20. 20.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
  21. 21.True or false: “what training builds” is training data. (a) False (b) True
  22. 22.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
  23. 23.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
  24. 24.©️ What does “giving credit” mean? (a) hiding the source (b) adding a filter (c) paying with a card (d) saying who made it
  25. 25.Which of these is someone else’s work (credit it)? (a) a song on the radio (b) a poem I wrote (c) a tune I made up (d) a story I made up
  26. 26.🔍 Which is the odd one out? (a) your name and school (b) your home address (c) your password (d) a science question
  27. 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
  28. 28.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) what training builds
  29. 29.🪜 Why ask an AI chatbot to show the steps? (a) to make it slower (b) to get a longer answer (c) to copy faster (d) to learn the method
  30. 30.True or false: “Quiz.” is a vague prompt. (a) False (b) True
  31. 31.🔒 An AI chatbot asks for your home address. What should you do? (a) share it quickly (b) say no, tell an adult (c) give a friend’s (d) share half of it
  32. 32.🧩 “Act as a patient science teacher.” This sets the… (a) word limit (b) format (c) example (d) role
  33. 33.Which of these uses AI? (a) video suggestions (b) a doorbell (c) a stopwatch (d) a torch
  34. 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
  35. 35.📲 Input, model or output: “your spoken words”? (a) the model (b) the input (c) the output
  36. 36.True or false: “handles new wording” describes a rule-based chatbot. (a) False (b) True
  37. 37.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) example (b) context (c) role (d) format
  38. 38.Which of these is my own work? (a) a photo from a website (b) a poet’s famous poem (c) a tune I made up (d) a song on the radio
  39. 39.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) correct labels (d) testing on training data
  40. 40.True or false: the request “check my draft” does the work for you. (a) True (b) False

Answer key

  1. learning
  2. a hallucination
  3. 7
  4. more labelled examples
  5. False
  6. True
  7. old emails marked spam
  8. the learned patterns
  9. the person who made it
  10. your phone number
  11. AI is never wrong
  12. a map predicting traffic
  13. True
  14. 2
  15. False
  16. try the sum yourself
  17. clear
  18. clear, sharp examples
  19. True
  20. True
  21. False
  22. the learned patterns
  23. 64
  24. saying who made it
  25. a song on the radio
  26. a science question
  27. a prediction
  28. what training builds
  29. to learn the method
  30. True
  31. say no, tell an adult
  32. role
  33. video suggestions
  34. one-sided data
  35. the input
  36. False
  37. example
  38. a tune I made up
  39. correct labels
  40. False

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