AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 289 · 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.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a role (b) a password (c) a length limit (d) a picture
2. 2.©️ Does this need credit: a story you made up? (a) your own work (b) needs credit
3. 3.Which of these sets the style or tone? (a) in a formal tone (b) in 2 lines only (c) no more than 100 words (d) add a fun fact
4. 4.🛠️ The answer was far too long. What should you add? (a) more questions (b) a word limit (c) a password (d) a new topic
5. 5.True or false: “explains a topic” is a red flag — stop and tell an adult. (a) True (b) False
6. 6.True or false: “I am in Class 6.” is the context part of a prompt. (a) True (b) False
7. 7.©️ Who owns the copyright of a song? (a) anyone who hears it (b) the radio (c) the person who made it (d) nobody at all
8. 8.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a hallucination (c) a password (d) a summary
9. 9.✨ Generative or not: turning speech to text? (a) sorts or predicts (b) makes something new
10. 10.🔒 Keep it private or okay to share with an AI chatbot: your name and school? (a) keep it private (b) okay to share
11. 11.✍️ Clear or vague: “Explain photosynthesis to a Class 6 student in 5 short steps.”? (a) vague (b) clear
12. 12.🧮 An AI chatbot says 20 × 4 = 81. Check it yourself: what is 20 × 4?
13. 13.✨ Generative or not: drafting a letter? (a) makes something new (b) sorts or predicts
14. 14.Which of these is a myth about AI? (a) AI can be wrong (b) AI can make up facts (c) AI always checks facts (d) AI learns from data
15. 15.💬 Rule-based or learning chatbot: “uses if-then rules”? (a) rule-based (b) learning
16. 16.Which of these is the input? (a) the trained AI part (b) your typed question (c) the typed reply (d) the predicted word
17. 17.🔍 Which is the odd one out? (a) a song on the radio (b) a story I made up (c) a poem I wrote (d) my own survey results
18. 18.📲 Input, model or output: “a tune you hum”? (a) the model (b) the input (c) the output
19. 19.Which of these should be kept private — never share it with an AI chatbot? (a) a grammar doubt (b) a chapter name (c) a maths sum to explain (d) a bank card number
20. 20.🛠️ If the first answer is not right, you can… (a) give up (b) type in capitals (c) refine the prompt (d) shout at it
21. 21.True or false: “typing a new spoken word” is a prediction. (a) True (b) False
22. 22.Which of these says what to include? (a) in very simple words (b) in a funny way (c) in 3 sentences or fewer (d) include 2 Indian rivers
23. 23.💬 Rule-based or learning chatbot: “builds its own replies”? (a) rule-based (b) learning
24. 24.Which of these is my own work? (a) a photo from a website (b) a song on the radio (c) a poem I wrote (d) a quote from a book
25. 25.🤖 AI or a normal program: which one “handles unseen examples”? (a) a normal program (b) AI
26. 26.🖼️ Warning sign or good sign: shadows going two ways? (a) a warning sign (b) a good sign
27. 27.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
28. 28.True or false: a poet’s famous line in your speech is your own work (no credit needed). (a) True (b) False
29. 29.✅ Is this a real check of an AI answer: find a trusted source? (a) not a real check (b) a real check
30. 30.🔍 Which is the odd one out? (a) fix wrong labels (b) use one group only (c) add varied examples (d) check who is missing
31. 31.True or false: the request “do my worksheet” does the work for you. (a) False (b) True
32. 32.⏩ In machine learning, which comes first: old emails marked spam or tomorrow’s rain guess? (a) old emails marked spam (b) tomorrow’s rain guess
33. 33.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) more labelled examples (d) fewer examples
34. 34.🔎 Checking an AI answer: which do you do first — fix your notes or match every number? (a) fix your notes (b) match every number
35. 35.Which of these is a poor way to study with AI? (a) mix AI and real practice (b) redo wrong questions (c) copying cards unread (d) make your own cards too
36. 36.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) a prediction (b) training data (c) the model
37. 37.📚 Good or bad for training a model: examples of every type? (a) good for training (b) bad for training
38. 38.📝 Honest use or copying: getting ideas, then writing in your own words? (a) honest use (b) not honest
39. 39.📚 Smart or poor way to study with AI: answer before peeking? (a) poor study (b) smart study
40. 40.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI

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