AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 31 · 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.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
2. 2.Which of these makes a weak prompt better? (a) use unclear slang (b) add exclamation marks (c) say the format you want (d) leave out the topic
3. 3.Which of these adds to bias? (a) test on many groups (b) copy old unfair choices (c) balance the data (d) ask different people
4. 4.Which of these is a poor way to study with AI? (a) ask why, not just what (b) asking it to do homework (c) answer before peeking (d) redo wrong questions
5. 5.True or false: “a quote from a book” is my own work. (a) False (b) True
6. 6.Which of these makes a weak prompt better? (a) add your class level (b) add lots of emojis (c) leave out the topic (d) type it twice
7. 7.🪜 What does this prompt ask for? “Break this word problem into small steps.” (a) asks for steps (b) asks only for the answer
8. 8.🔍 Which is the odd one out? (a) ask for steps (b) name the exact topic (c) split into small asks (d) add lots of emojis
9. 9.📚 Good or bad for training a model: testing on training data? (a) good for training (b) bad for training
10. 10.Which of these should be kept private — never share it with an AI chatbot? (a) your live location (b) a grammar doubt (c) a topic for a quiz (d) a chapter name
11. 11.True or false: a book app suggesting a story like your last one is AI recommending something. (a) False (b) True
12. 12.⏩ In machine learning, which comes first: naming a new leaf or old emails marked spam? (a) naming a new leaf (b) old emails marked spam
13. 13.🎂 Ask an adult first, or fine to do yourself: closing an app that makes you uneasy? (a) fine to do yourself (b) ask an adult first
14. 14.True or false: “Why floods?” is a clear prompt. (a) True (b) False
15. 15.Which of these is a prediction? (a) flagging a new email (b) what training builds (c) recorded spoken words (d) old emails marked spam
16. 16.True or false: “wrong labels” is good for training a model. (a) True (b) False
17. 17.📱 What is the AI doing here: a car camera reading a speed sign? (a) generating (b) recognising (c) recommending (d) predicting
18. 18.📱 What is the AI doing here: a weather app guessing tomorrow’s rain? (a) recommending (b) generating (c) recognising (d) predicting
19. 19.True or false: a shop guessing how many umbrellas will sell is AI generating something new. (a) False (b) True
20. 20.🔁 Learning a hard sum with AI: which should you do first — ask for one hint or try the sum yourself? (a) ask for one hint (b) try the sum yourself
21. 21.True or false: a story you made up is your own work (no credit needed). (a) False (b) True
22. 22.🔍 Which is the odd one out? (a) a poem I wrote (b) my own diary (c) a picture I drew (d) a photo from a website
23. 23.🎂 Ask an adult first, or fine to do yourself: turning off a chatbot that feels wrong? (a) ask an adult first (b) fine to do yourself
24. 24.🔁 Learning a hard sum with AI: which should you do first — do one more on your own or ask for one hint? (a) do one more on your own (b) ask for one hint
25. 25.🔎 Checking an AI answer: which do you do first — fix your notes or match every number? (a) fix your notes (b) match every number
26. 26.🎨 This prompt asks a generative AI for: write a poem about the monsoon. What kind of output is that? (a) an image (b) music or sound (c) text
27. 27.✨ Generative or not: creating a cartoon? (a) sorts or predicts (b) makes something new
28. 28.💬 Rule-based or learning chatbot: “every reply hand-written”? (a) learning (b) rule-based
29. 29.📏 What kind of constraint is “in very simple words”? (a) what to include (b) a length limit (c) a reading level (d) a style or tone
30. 30.📦 What happens during training? (a) it learns patterns (b) it charges up (c) it takes photos (d) it prints labels
31. 31.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
32. 32.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) spam (b) not spam
33. 33.📋 Planning an AI project: which comes first — split train and test or test on new photos? (a) split train and test (b) test on new photos
34. 34.✔️ An AI chatbot says 12 × 4 = 38. Is that correct or wrong? (a) wrong (b) correct
35. 35.Which of these is okay to share with an AI chatbot? (a) your password (b) your school ID number (c) a one-time password (d) a chapter name
36. 36.🎯 Ishaan’s handwriting reader is 70% accurate. If it is tested on 10 new handwritten letters, how many should it get right?
37. 37.True or false: “many varied examples” is bad for training a model. (a) False (b) True
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) a prediction (b) the model (c) training data
39. 39.🗂️ What is the best way to use an AI practice quiz? (a) copy the answers (b) read the answers first (c) skip hard ones (d) answer before checking
40. 40.✍️ Which prompt is clearer?
    A: “Food ideas?”
    B: “Suggest 5 healthy tiffin ideas for a 10-year-old, without nuts.” (a) Prompt A (b) Prompt B

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