AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 889 · 40 questions

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.

1. 1.🔁 Training data, the model or a prediction: “the trained program”? (a) the model (b) training data (c) a prediction
2. 2.🔍 Which is the odd one out? (a) labels added at random (b) clear, sharp examples (c) testing on training data (d) only one kind of example
3. 3.🛠️ “Write about animals.” What would improve this prompt most? (a) name animal and format (b) make it shorter (c) add exclamation marks (d) write it in capitals
4. 4.💬 Rule-based or learning chatbot: “fixed replies only”? (a) rule-based (b) learning
5. 5.True or false: “a picture of a castle made of mangoes” asks for an image. (a) False (b) True
6. 6.Which of these helps reduce bias? (a) skip testing (b) fix wrong labels (c) test on one group only (d) copy old unfair choices
7. 7.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) stop studying (c) trust the AI (d) share it online
8. 8.📖 Which is the most trusted source for a school fact? (a) a random comment (b) your textbook (c) a funny meme (d) a chain message
9. 9.Which of these uses AI? (a) voice typing (b) a calculator (c) a fan regulator (d) a digital watch
10. 10.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
11. 11.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a picture (c) a password (d) a length limit
12. 12.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) training data (c) a prediction
13. 13.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
14. 14.🔁 Learning a hard sum with AI: which should you do first — have a go on your own or do one more on your own? (a) have a go on your own (b) do one more on your own
15. 15.Which of these adds to bias? (a) check who is missing (b) use one group only (c) fix wrong labels (d) test on many groups
16. 16.⏩ In machine learning, which comes first: labelled fruit photos or what training builds? (a) labelled fruit photos (b) what training builds
17. 17.🔍 Which is the odd one out? (a) my own survey results (b) a quote from a book (c) a picture I drew (d) a clay model I built
18. 18.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a random emoji (b) context (c) more capitals (d) a password
19. 19.True or false: “I have a test on Friday.” is the role part of a prompt. (a) True (b) False
20. 20.🔎 Before sharing a surprising post, which comes first — check the author or report it if fake? (a) check the author (b) report it if fake
21. 21.True or false: “Write it as a short dialogue.” is the role part of a prompt. (a) True (b) False
22. 22.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to make it bigger (c) to see if it learned (d) to make it faster
23. 23.📚 Smart or poor way to study with AI: ask why, not just what? (a) poor study (b) smart study
24. 24.✅ Is this a real check of an AI answer: it uses big words? (a) a real check (b) not a real check
25. 25.Which of these sets the reading level? (a) for a Class 3 student (b) in a funny way (c) in one short paragraph (d) in under 50 words
26. 26.🛠️ What helps make an AI system fairer? (a) fewer tests (b) ignoring mistakes (c) more varied data (d) one group only
27. 27.True or false: “fix wrong labels” helps reduce bias. (a) False (b) True
28. 28.Which of these is bad for training a model? (a) examples of every type (b) correct labels (c) only one kind of example (d) many varied examples
29. 29.📚 Smart or poor way to study with AI: make your own cards too? (a) smart study (b) poor study
30. 30.True or false: asking for feedback on your own essay draft is NOT honest use. (a) False (b) True
31. 31.True or false: “Act as a friendly maths tutor.” is the task part of a prompt. (a) True (b) False
32. 32.🏠 AI or not AI: a fan regulator? (a) not AI (b) uses AI
33. 33.🧩 Which part of a prompt is this? “Summarise this paragraph.” (a) task (b) example (c) format (d) role
34. 34.🔒 Keep it private or okay to share with an AI chatbot: a maths sum to explain? (a) okay to share (b) keep it private
35. 35.📖 Is this a good source to check an AI answer against: a library book? (a) a good source (b) not a good source
36. 36.🪜 What does this prompt ask for? “Explain each step of balancing this equation.” (a) asks only for the answer (b) asks for steps
37. 37.Which of these is training data? (a) old emails marked spam (b) the learned patterns (c) what training builds (d) naming a new leaf
38. 38.🔎 Checking an AI answer: which do you do first — find the same topic or match every number? (a) find the same topic (b) match every number
39. 39.🧩 Which part of a prompt is this? “My class just learned fractions.” (a) example (b) role (c) context (d) task
40. 40.Which of these is training data? (a) naming a new fruit photo (b) labelled fruit photos (c) naming a new leaf (d) what training builds

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