AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 892 · 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.💬 Rule-based or learning chatbot: “learns from examples”? (a) rule-based (b) learning
2. 2.Which of these requests does the work for you? (a) “quiz me on Chapter 3” (b) “define ‘orbit’ for me” (c) “write my poem for me” (d) “explain this step”
3. 3.🔍 Which is the odd one out? (a) spotting spam (b) sorting photos by face (c) spotting a sick leaf (d) inventing a recipe
4. 4.True or false: the message “Last chance! Free gift card inside” should be labelled “spam”. (a) True (b) False
5. 5.📷 In a plant-spotting app, your leaf photo is the… (a) model (b) input (c) output
6. 6.Which of these makes a weak prompt better? (a) make it vaguer (b) add lots of emojis (c) add your class level (d) add unrelated details
7. 7.🔍 Which is the odd one out? (a) mismatched earrings (b) a shocking headline (c) the original photo found (d) blurry, melted text
8. 8.🖼️ Warning sign or good sign: mismatched earrings? (a) a warning sign (b) a good sign
9. 9.📝 Honest use or copying: using it in a test when that is not allowed? (a) not honest (b) honest use
10. 10.📱 What is the AI doing here: an AI chatbot writing a story about a lost kite? (a) generating (b) recommending (c) recognising (d) predicting
11. 11.🎯 Nisha’s recycling sorter is 90% accurate. If it is tested on 10 new waste photos, how many should it get right?
12. 12.🎂 Ask an adult first, or fine to do yourself: signing up for a new AI app? (a) fine to do yourself (b) ask an adult first
13. 13.📚 Smart or poor way to study with AI: check summaries in books? (a) poor study (b) smart study
14. 14.Which of these is not AI? (a) a map predicting traffic (b) a torch (c) an image generator (d) a voice assistant
15. 15.✍️ Which prompt is clearer?
    A: “Write a poem.”
    B: “Write a 4-line poem about the monsoon for our notice board.” (a) Prompt A (b) Prompt B
16. 16.🛠️ Which does this job need: recognising a bird from its song? (a) a simple rule is enough (b) needs AI (learning)
17. 17.Which of these is a myth about AI? (a) AI learns from data (b) AI answers need checking (c) AI can be wrong (d) long answers are true
18. 18.🔎 Before sharing a surprising post, which comes first — compare with others or share only if true? (a) compare with others (b) share only if true
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) the model (c) a prediction
20. 20.📏 What kind of constraint is “in under 50 words”? (a) a style or tone (b) a reading level (c) a length limit (d) what to include
21. 21.Which of these makes a weak prompt better? (a) type it twice (b) split into small asks (c) leave out the topic (d) make it vaguer
22. 22.Which of these is a red flag — stop and tell an adult? (a) says it may be wrong (b) asks your class level (c) suggests practice (d) says not to tell parents
23. 23.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a password (b) a role (c) a length limit (d) a picture
24. 24.⏩ In machine learning, which comes first: the learned patterns or labelled fruit photos? (a) the learned patterns (b) labelled fruit photos
25. 25.📝 Honest use or copying: asking for feedback on your own essay draft? (a) not honest (b) honest use
26. 26.True or false: “a cheerful tune for Sports Day” asks for music or sound. (a) False (b) True
27. 27.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
28. 28.Which of these is a fact about AI? (a) long answers are true (b) AI always checks facts (c) AI answers need checking (d) confident means correct
29. 29.📚 Smart or poor way to study with AI: mix AI and real practice? (a) smart study (b) poor study
30. 30.🔦 Is a torch with an on/off switch AI? (a) yes (b) no (c) only if it is bright
31. 31.💬 What do we call the request you type to a generative AI? (a) a battery (b) a prompt (c) a password (d) a label
32. 32.✨ Generative or not: reading number plates? (a) sorts or predicts (b) makes something new
33. 33.✔️ An AI chatbot says 11 × 8 = 87. Is that correct or wrong? (a) wrong (b) correct
34. 34.Which of these is a myth about AI? (a) AI always checks facts (b) AI answers need checking (c) AI copies data patterns (d) AI can mix up numbers
35. 35.💬 Rule-based or learning chatbot: “fixed replies only”? (a) learning (b) rule-based
36. 36.🔍 Which is the odd one out? (a) a riddle to solve (b) your password (c) your live location (d) a one-time password
37. 37.🛠️ Does this make a weak prompt better: add your class level? (a) not a fix (b) a good fix
38. 38.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) a prediction (c) training data
39. 39.🏠 AI or not AI: a kitchen weighing scale? (a) uses AI (b) not AI
40. 40.True or false: “a science question” should be kept private — never share it with an AI chatbot. (a) False (b) True

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