AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 547 · 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.🗂️ What study help is this prompt asking for? “Explain why ice floats, in simple words.” (a) a practice quiz (b) flashcards (c) a summary (d) an explanation
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.🗂️ An AI flashcard has a wrong fact. What should you do? (a) learn it anyway (b) correct the card (c) throw all cards away (d) ignore it
4. 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) more labelled examples (b) a louder speaker (c) fewer examples (d) a new colour screen
5. 5.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
6. 6.✍️ Which prompt is clearer?
   A: “Names please.”
   B: “Suggest 4 names for our eco club, each under 3 words.” (a) Prompt A (b) Prompt B
7. 7.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) music or sound (c) text
8. 8.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
9. 9.💬 Rule-based or learning chatbot: “guesses likely replies”? (a) rule-based (b) learning
10. 10.True or false: “Explain one step at a time why 7 × 8 = 56.” asks only for the final answer. (a) True (b) False
11. 11.True or false: a classmate’s idea you used is your own work (no credit needed). (a) False (b) True
12. 12.Which of these makes a weak prompt better? (a) add a word limit (b) leave out the topic (c) type it twice (d) write it in capitals
13. 13.Which of these is a myth about AI? (a) AI can mix up numbers (b) AI is never wrong (c) AI can be wrong (d) AI can make up facts
14. 14.🔒 What can you safely ask an AI chatbot? (a) your bank PIN (b) a science doubt (c) your home address (d) a friend’s phone number
15. 15.True or false: “only one kind of example” is bad for training a model. (a) True (b) False
16. 16.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) the weather (d) its screen size
17. 17.Which of these is training data? (a) labelled fruit photos (b) the learned patterns (c) tomorrow’s rain guess (d) the trained program
18. 18.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
19. 19.True or false: a music app suggesting a song you may like is AI generating something new. (a) True (b) False
20. 20.✍️ How does an AI chatbot write its replies? (a) copies one website (b) predicts likely words (c) uses magic (d) asks a person
21. 21.🧩 Which part of a prompt is this? “For example: cat → billi” (a) example (b) format (c) task (d) role
22. 22.🔍 Which is the odd one out? (a) writing a new poem (b) unlocking with a face (c) turning speech to text (d) reading number plates
23. 23.🪜 Which phrase asks for step-by-step help? (a) “just the answer” (b) “skip the working” (c) “no explanation” (d) “explain each step”
24. 24.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
25. 25.True or false: “Translate ‘Where is the library?’ into Hindi and show how to say it.” is a vague prompt. (a) False (b) True
26. 26.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
27. 27.True or false: “Turn these 10 words into question-and-answer cards.” is asking for flashcards. (a) False (b) True
28. 28.©️ Whose work is it: a story I made up? (a) my own work (b) someone else’s work
29. 29.🧮 Is a basic calculator an AI system? (a) no, it follows rules (b) yes, it is smart (c) only at night (d) yes, it can think
30. 30.⚖️ One-sided or balanced data: a voice app trained only on adult voices? (a) balanced data (b) one-sided data
31. 31.🧩 “Act as a patient science teacher.” This sets the… (a) format (b) word limit (c) role (d) example
32. 32.True or false: “naming a new leaf” is training data. (a) True (b) False
33. 33.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
34. 34.🔍 Which is the odd one out? (a) AI learns from data (b) AI always checks facts (c) AI can mix up numbers (d) AI answers need checking
35. 35.🔍 Which is the odd one out? (a) AI answers need checking (b) AI has real feelings (c) AI knows everything (d) AI is never wrong
36. 36.Which of these adds to bias? (a) test on one group only (b) balance the data (c) check who is missing (d) fix wrong labels
37. 37.🖼️ Which sign can show a picture was AI-made? (a) a named photographer (b) six fingers on a hand (c) a calm sky (d) a clear caption
38. 38.📦 Nisha collected 190 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
39. 39.🔎 Checking an AI answer: which do you do first — compare the facts or find the same topic? (a) compare the facts (b) find the same topic
40. 40.True or false: “recorded spoken words” is the model. (a) True (b) False

Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students