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AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 249 · 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.📋 Planning an AI project: which comes first — split train and test or correct bad labels? (a) split train and test (b) correct bad labels
  2. 2.True or false: “makes a best guess” describes how AI works. (a) True (b) False
  3. 3.🖼️ Warning sign or good sign: a clear date? (a) a warning sign (b) a good sign
  4. 4.💬 Rule-based or learning chatbot: “builds its own replies”? (a) learning (b) rule-based
  5. 5.True or false: “Solve 3x + 5 = 20 step by step.” asks only for the final answer. (a) True (b) False
  6. 6.True or false: “split into small asks” does not make a prompt better. (a) True (b) False
  7. 7.🔍 Which is the odd one out? (a) make it vaguer (b) name the exact topic (c) use unclear slang (d) type it twice
  8. 8.True or false: asking for a simpler explanation of a chapter is NOT honest use. (a) False (b) True
  9. 9.🧮 Is a basic calculator an AI system? (a) only at night (b) yes, it is smart (c) no, it follows rules (d) yes, it can think
  10. 10.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  11. 11.📚 Usually, more good examples make a model… (a) forget everything (b) change colour (c) better at its task (d) slower to switch on
  12. 12.📖 Which is the most trusted source for a school fact? (a) a funny meme (b) a random comment (c) your textbook (d) a chain message
  13. 13.🧩 Which part of a prompt is this? “Use a table with 2 columns.” (a) example (b) context (c) role (d) format
  14. 14.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
  15. 15.True or false: “Use a table with 2 columns.” is the format part of a prompt. (a) False (b) True
  16. 16.🔍 Which is the odd one out? (a) a chapter name (b) a bank card number (c) a friend’s secret (d) your home address
  17. 17.🪜 An AI shows steps for a sum. What should you do with them? (a) delete them (b) copy them blindly (c) check each step (d) ignore them
  18. 18.🎯 Nisha’s recycling sorter is 50% accurate. If it is tested on 60 new waste photos, how many should it get right?
  19. 19.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) training data (b) a prediction (c) the model
  20. 20.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
  21. 21.🔍 Which is the odd one out? (a) a maths sum to explain (b) a riddle to solve (c) a science question (d) your name and school
  22. 22.📱 What is the AI doing here: an AI tool making a brand-new tune? (a) recognising (b) predicting (c) generating (d) recommending
  23. 23.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 24 right and Model B got 21 right. How many percentage points more accurate is Model A?
  24. 24.🔍 Which is the odd one out? (a) photos grouped by face (b) a torch (c) a voice assistant (d) voice typing
  25. 25.Which of these is stage 2 (ask for help)? (a) ask for one hint (b) try the sum yourself (c) have a go on your own (d) do one more on your own
  26. 26.Which of these requests helps you learn? (a) “make practice sums” (b) “do my worksheet” (c) “write my project” (d) “solve my test paper”
  27. 27.🛠️ Which does this job need: converting metres into centimetres? (a) a simple rule is enough (b) needs AI (learning)
  28. 28.Which of these should be kept private — never share it with an AI chatbot? (a) a photo of your friend (b) a story idea (c) a topic for a quiz (d) a grammar doubt
  29. 29.🔍 Which is the odd one out? (a) AI can be wrong (b) AI can make up facts (c) AI learns from data (d) AI knows everything
  30. 30.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) learning (b) generative (c) rule-based
  31. 31.🔎 How can you check where a photo first came from? (a) a reverse image search (b) share it more (c) zoom in on it (d) print it out
  32. 32.🔁 Learning a hard sum with AI: which should you do first — try the sum yourself or solve a new one alone? (a) try the sum yourself (b) solve a new one alone
  33. 33.🔍 Which is the odd one out? (a) a friend’s secret (b) your phone number (c) your password (d) a history question
  34. 34.🔎 Checking an AI answer: which do you do first — underline each fact or compare the facts? (a) underline each fact (b) compare the facts
  35. 35.🎨 An image generator makes a picture from… (a) the weather (b) a text description (c) your password (d) a phone number
  36. 36.Which of these is stage 3 (practise alone)? (a) try the sum yourself (b) attempt it on paper (c) do one more on your own (d) have a go on your own
  37. 37.⏩ In machine learning, which comes first: the learned patterns or typing a new spoken word? (a) the learned patterns (b) typing a new spoken word
  38. 38.🚩 A study chatbot explains a topic. Is that a red flag? (a) normal (b) a red flag
  39. 39.Which of these is good for training a model? (a) very few examples (b) checking labels twice (c) wrong labels (d) labels added at random
  40. 40.🔍 Which is the odd one out? (a) “explain this step” (b) “solve my test paper” (c) “write my essay” (d) “do my worksheet”

Answer key

  1. correct bad labels
  2. True
  3. a good sign
  4. learning
  5. False
  6. False
  7. name the exact topic
  8. False
  9. no, it follows rules
  10. balanced data
  11. better at its task
  12. your textbook
  13. format
  14. data, model, prediction
  15. True
  16. a chapter name
  17. check each step
  18. 30
  19. a prediction
  20. True
  21. your name and school
  22. generating
  23. 12
  24. a torch
  25. ask for one hint
  26. “make practice sums”
  27. a simple rule is enough
  28. a photo of your friend
  29. AI knows everything
  30. rule-based
  31. a reverse image search
  32. try the sum yourself
  33. a history question
  34. underline each fact
  35. a text description
  36. do one more on your own
  37. the learned patterns
  38. normal
  39. checking labels twice
  40. “explain this step”

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