AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 710 · 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.🛠️ Which does this job need: spotting spam emails by their patterns? (a) a simple rule is enough (b) needs AI (learning)
2. 2.🔒 Can you upload a photo of your friend to an AI app? (a) yes, if it is funny (b) no, never (c) yes, any time
3. 3.Which of these is generative AI (it makes something new)? (a) predicting rain (b) drawing a new picture (c) spotting a sick leaf (d) reading number plates
4. 4.💬 Does this request help you learn, or do the work for you? “make practice sums” (a) does it for you (b) helps you learn
5. 5.🎨 This prompt asks a generative AI for: rain sound effects for a play. What kind of output is that? (a) an image (b) text (c) music or sound
6. 6.📚 Usually, more good examples make a model… (a) better at its task (b) forget everything (c) slower to switch on (d) change colour
7. 7.True or false: “old emails marked spam” is the model. (a) True (b) False
8. 8.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
9. 9.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
10. 10.🪜 What does this prompt ask for? “Solve 3x + 5 = 20 step by step.” (a) asks only for the answer (b) asks for steps
11. 11.Which of these uses AI? (a) a microwave timer (b) voice typing (c) a light switch (d) a doorbell
12. 12.🧩 Which part of a prompt is this? “You are a science quiz master.” (a) format (b) context (c) example (d) role
13. 13.🛠️ Which does this job need: sorting names in A to Z order? (a) needs AI (learning) (b) a simple rule is enough
14. 14.📋 Planning an AI project: which comes first — train the model or test on new photos? (a) train the model (b) test on new photos
15. 15.Which of these is bad for training a model? (a) very few examples (b) clear, sharp examples (c) correct labels (d) many varied examples
16. 16.🤖 AI or a normal program: which one “follows fixed rules”? (a) a normal program (b) AI
17. 17.📦 What happens during training? (a) it learns patterns (b) it takes photos (c) it charges up (d) it prints labels
18. 18.True or false: “say what it is for” does not make a prompt better. (a) False (b) True
19. 19.Which of these is a fact about AI? (a) long answers are true (b) AI can make up facts (c) confident means correct (d) AI is never wrong
20. 20.📋 Planning an AI project: which comes first — correct bad labels or collect fruit photos? (a) correct bad labels (b) collect fruit photos
21. 21.Which of these is the input? (a) your typed question (b) the predicted word (c) the patterns it learned (d) the label “cat”
22. 22.✨ Generative or not: making up a story? (a) sorts or predicts (b) makes something new
23. 23.True or false: “ask for steps” does not make a prompt better. (a) False (b) True
24. 24.🔍 Which is the odd one out? (a) add a word limit (b) say what it is for (c) ask for steps (d) use unclear slang
25. 25.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Your library book is due on Monday” (a) spam (b) not spam
26. 26.📲 Input, model or output: “the label “cat””? (a) the model (b) the output (c) the input
27. 27.©️ Does this need credit: a fact from a science magazine in your report? (a) your own work (b) needs credit
28. 28.🔍 Which is the odd one out? (a) suggesting a video (b) spotting a sick leaf (c) sorting photos by face (d) making up a story
29. 29.True or false: “Make a 10-question test on decimals, answers at the end.” is asking for a practice quiz. (a) True (b) False
30. 30.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) a random emoji (b) more capitals (c) context (d) a password
31. 31.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) photos in many lights (d) copies of one photo
32. 32.🔁 Training data, the model or a prediction: “past weather records”? (a) training data (b) a prediction (c) the model
33. 33.📚 Smart or poor way to study with AI: redo wrong questions? (a) poor study (b) smart study
34. 34.⏩ When you use an AI app, which happens first: you hum a tune or the model makes a guess? (a) you hum a tune (b) the model makes a guess
35. 35.🔎 Checking an AI answer: which do you do first — match every number or correct the mistakes? (a) match every number (b) correct the mistakes
36. 36.Which of these is the model? (a) naming a new fruit photo (b) recorded spoken words (c) what training builds (d) tomorrow’s rain guess
37. 37.📏 What kind of constraint is “in under 50 words”? (a) a style or tone (b) what to include (c) a length limit (d) a reading level
38. 38.Which of these is the model? (a) 500 labelled leaf photos (b) the trained program (c) naming a new leaf (d) labelled fruit photos
39. 39.🧐 Fact or myth: “AI always checks facts”? (a) a myth (b) a fact
40. 40.✍️ Clear or vague: “Tell me about laws.”? (a) clear (b) vague

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