AI for Students Worksheet: Final Test

AI for students lesson 24: Final test: AI for students · Set 733 · 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.📚 Good or bad for training a model: correct labels? (a) bad for training (b) good for training
2. 2.Which of these is the input? (a) your spoken words (b) the predicted word (c) the part that decides (d) the typed reply
3. 3.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) role (b) context (c) example (d) format
4. 4.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the AI (b) stop studying (c) trust the textbook (d) share it online
5. 5.🤖 AI or a normal program: which one “makes a best guess”? (a) AI (b) a normal program
6. 6.True or false: “Sum up this chapter in 5 bullet points.” is asking for an explanation. (a) False (b) True
7. 7.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
8. 8.🧪 What is accuracy? (a) total × 2 (b) correct ÷ total × 100 (c) total − correct (d) correct + total
9. 9.🔍 Which is the odd one out? (a) copies of one photo (b) wrong labels (c) only one kind of example (d) photos in many lights
10. 10.Which of these is good for training a model? (a) examples of every type (b) only one kind of example (c) labels added at random (d) testing on training data
11. 11.⏩ In machine learning, which comes first: labelled fruit photos or the learned patterns? (a) labelled fruit photos (b) the learned patterns
12. 12.True or false: reading your school’s rules on AI is fine to do by yourself. (a) False (b) True
13. 13.✨ Generative or not: turning speech to text? (a) makes something new (b) sorts or predicts
14. 14.🔍 Which is the odd one out? (a) a photo I took (b) a classmate’s drawing (c) a poet’s famous poem (d) a quote from a book
15. 15.True or false: finding 10% of a price needs AI that learns from examples. (a) True (b) False
16. 16.✨ Generative or not: spotting spam? (a) sorts or predicts (b) makes something new
17. 17.🪜 Before asking AI for steps on homework, you should first… (a) give up (b) copy a friend (c) try it yourself (d) ask for the answer
18. 18.🤖 AI or a normal program: which one “improves with more data”? (a) AI (b) a normal program
19. 19.🔁 Training data, the model or a prediction: “flagging a new email”? (a) training data (b) a prediction (c) the model
20. 20.©️ Who owns the copyright of a song? (a) nobody at all (b) the person who made it (c) anyone who hears it (d) the radio
21. 21.Which of these is a myth about AI? (a) AI can be wrong (b) AI learns from data (c) AI can make up facts (d) long answers are true
22. 22.🗂️ What study help is this prompt asking for? “Turn these 10 words into question-and-answer cards.” (a) a summary (b) a practice quiz (c) flashcards (d) an explanation
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
24. 24.🔍 Which is the odd one out? (a) correct labels (b) very few examples (c) wrong labels (d) blurry, unclear photos
25. 25.🚩 A study chatbot admits it is unsure. Is that a red flag? (a) a red flag (b) normal
26. 26.🛠️ Which is the improved prompt?
    A: “States and capitals.”
    B: “Make a table of 5 Indian states with their capitals and one famous food each.” (a) Prompt A (b) Prompt B
27. 27.📱 What is the AI doing here: a phone unlocking when it sees your face? (a) recognising (b) generating (c) recommending (d) predicting
28. 28.True or false: “in 2 lines only” sets a length limit. (a) False (b) True
29. 29.💬 Does this request help you learn, or do the work for you? “where did I go wrong?” (a) does it for you (b) helps you learn
30. 30.Which of these is generative AI (it makes something new)? (a) drafting a letter (b) turning speech to text (c) sorting photos by face (d) suggesting a video
31. 31.🔢 How many words are in this prompt?
    “Explain how a rainbow forms in simple words.”
32. 32.⏩ In machine learning, which comes first: the learned patterns or tomorrow’s rain guess? (a) the learned patterns (b) tomorrow’s rain guess
33. 33.🔁 What is the right order? (a) prediction, data, model (b) data, prediction, model (c) model, prediction, data (d) data, model, prediction
34. 34.True or false: “makes a best guess” describes how a normal program works. (a) True (b) False
35. 35.🔁 Training data, the model or a prediction: “what training builds”? (a) training data (b) a prediction (c) the model
36. 36.Which of these is a warning sign of a fake picture or story? (a) many trusted sources (b) a clear date (c) blurry, melted text (d) a named author
37. 37.🛠️ If the first answer is not right, you can… (a) give up (b) type in capitals (c) shout at it (d) refine the prompt
38. 38.🔒 Keep it private or okay to share with an AI chatbot: a friend’s secret? (a) keep it private (b) okay to share
39. 39.⏩ In machine learning, which comes first: tomorrow’s rain guess or the learned patterns? (a) tomorrow’s rain guess (b) the learned patterns
40. 40.True or false: “many varied examples” is bad for training a model. (a) False (b) True

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