AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 812 · 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.🛠️ Does this make a weak prompt better: ask for steps? (a) a good fix (b) not a fix
2. 2.True or false: stories with doctors of every gender is balanced data (fairer for everyone). (a) True (b) False
3. 3.Which of these is a good source to check against? (a) a funny meme (b) a random comment (c) the same chatbot again (d) a government website
4. 4.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a picture (b) a password (c) a length limit (d) a role
5. 5.🔍 Which is the odd one out? (a) your live location (b) a chapter name (c) your spelling list (d) a topic for a quiz
6. 6.True or false: the request “make practice sums” does the work for you. (a) True (b) False
7. 7.🧮 An AI chatbot says 13 × 8 = 94. Check it yourself: what is 13 × 8?
8. 8.Which of these uses AI? (a) a stopwatch (b) a light switch (c) an image generator (d) a printed timetable
9. 9.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
10. 10.🔍 Which is the odd one out? (a) a named author (b) no trusted source (c) blurry, melted text (d) shadows going two ways
11. 11.🎨 This prompt asks a generative AI for: a drum beat for a dance. What kind of output is that? (a) an image (b) music or sound (c) text
12. 12.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
13. 13.🎂 Many AI apps have a minimum age in their rules. What should you do? (a) make a fake account (b) check it with a parent (c) lie about your age (d) ignore it
14. 14.📋 Planning an AI project: which comes first — work out the accuracy or label each example? (a) work out the accuracy (b) label each example
15. 15.⚖️ Two fruit sorter models were tested on the same 25 fruit photos. Model A got 19 right and Model B got 13 right. How many percentage points more accurate is Model A?
16. 16.🔍 Which is the odd one out? (a) copies of one photo (b) correct labels (c) examples of every type (d) clear, sharp examples
17. 17.Which of these is stage 1 (try it yourself)? (a) ask for the steps (b) try a similar sum alone (c) try the sum yourself (d) ask how to start
18. 18.🧩 Which part of a prompt is this? “Write 5 quiz questions on plants.” (a) example (b) task (c) role (d) format
19. 19.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
20. 20.📖 Is this a good source to check an AI answer against: a library book? (a) not a good source (b) a good source
21. 21.📝 Honest use or copying: making practice questions to test yourself? (a) not honest (b) honest use
22. 22.🧩 “Act as a patient science teacher.” This sets the… (a) format (b) example (c) role (d) word limit
23. 23.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a battery (d) a prompt
24. 24.True or false: “a story I made up” is my own work. (a) True (b) False
25. 25.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
26. 26.Which of these is not AI? (a) face unlock on a phone (b) an image generator (c) a spam filter (d) a calculator
27. 27.True or false: “your phone number” is okay to share with an AI chatbot. (a) True (b) False
28. 28.⏩ In machine learning, which comes first: recorded spoken words or naming a new fruit photo? (a) recorded spoken words (b) naming a new fruit photo
29. 29.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
30. 30.🔍 Which is the odd one out? (a) photos grouped by face (b) a torch (c) a spam filter (d) an app translating signs
31. 31.True or false: a car camera reading a speed sign is AI recognising something. (a) True (b) False
32. 32.Which of these is good for training a model? (a) copies of one photo (b) wrong labels (c) examples of every type (d) testing on training data
33. 33.🛠️ What helps make an AI system fairer? (a) more varied data (b) ignoring mistakes (c) one group only (d) fewer tests
34. 34.True or false: the request “write my project” helps you learn. (a) False (b) True
35. 35.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
36. 36.True or false: “Make cards with a term on one side, its meaning on the other.” is asking for flashcards. (a) True (b) False
37. 37.📋 Planning an AI project: which comes first — test on new photos or correct bad labels? (a) test on new photos (b) correct bad labels
38. 38.📖 An AI chatbot gives a quote and a source. What should you do? (a) copy it straight away (b) delete your notes (c) check the source is real (d) add more quotes
39. 39.Which of these helps reduce bias? (a) test on one group only (b) check who is missing (c) use one group only (d) copy old unfair choices
40. 40.Which of these helps reduce bias? (a) test on one group only (b) ask different people (c) use one group only (d) ignore complaints

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