AI for Students Worksheet: Final Test
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.
NameDateTime takenScore ___ / 40
- 1.True or false: translating a sentence into Hindi needs AI that learns from examples. (a) True (b) False
- 2.🛠️ Does this make a weak prompt better: name the exact topic? (a) not a fix (b) a good fix
- 3.🔍 Which is the odd one out? (a) ask different people (b) copy old unfair choices (c) fix wrong labels (d) add varied examples
- 4.True or false: “testing on training data” is good for training a model. (a) True (b) False
- 5.🛠️ Does this make a weak prompt better: say what it is for? (a) not a fix (b) a good fix
- 6.Which of these is normal for a study chatbot? (a) asks to keep a secret (b) asks you to check facts (c) asks for photos of you (d) urges you to click links
- 7.🔢 An AI chatbot gives a sum’s answer. What is the smart thing to do? (a) ask it to hurry (b) never do maths (c) check it on paper (d) copy it straight away
- 8.📝 Why is copying an AI essay a problem? (a) it is too short (b) it uses paper (c) it is too neat (d) you do not learn
- 9.Which of these is a good source to check against? (a) an anonymous post (b) a rumour from a friend (c) a science museum site (d) a forwarded message
- 10.🔍 Which is the odd one out? (a) split into small asks (b) type it twice (c) write it in capitals (d) add unrelated details
- 11.⏩ When you use an AI app, which happens first: the model makes a guess or the reply appears? (a) the model makes a guess (b) the reply appears
- 12.True or false: “same steps every time” describes how a normal program works. (a) False (b) True
- 13.⏩ In machine learning, which comes first: flagging a new email or what training builds? (a) flagging a new email (b) what training builds
- 14.Which of these sets a length limit? (a) no hard science words (b) in one short paragraph (c) in a friendly tone (d) answers at the end
- 15.Which of these is a good sign (but still check)? (a) “share before it’s gone” (b) a background that bends (c) blurry, melted text (d) a named author
- 16.Which of these is a poor way to study with AI? (a) check summaries in books (b) never checking mistakes (c) answer before peeking (d) ask why, not just what
- 17.True or false: making practice questions to test yourself is NOT honest use. (a) False (b) True
- 18.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) bias from data (c) a broken screen (d) a strong battery
- 19.🔍 Which is the odd one out? (a) copy old unfair choices (b) add more of the same (c) use one group only (d) ask different people
- 20.🔍 Which is the odd one out? (a) add exclamation marks (b) add a word limit (c) make it vaguer (d) add unrelated details
- 21.Which of these is okay to share with an AI chatbot? (a) a one-time password (b) your name and school (c) a grammar doubt (d) your password
- 22.Which of these should be kept private — never share it with an AI chatbot? (a) a photo of your friend (b) a story idea (c) a word you don’t know (d) a history question
- 23.Which of these is the model? (a) naming a new leaf (b) 500 labelled leaf photos (c) what training builds (d) tomorrow’s rain guess
- 24.Which of these is good for training a model? (a) copies of one photo (b) checking labels twice (c) very few examples (d) blurry, unclear photos
- 25.True or false: pasting its answers into your homework sheet is an honest way to use AI for homework. (a) False (b) True
- 26.Which of these describes how AI works? (a) does exactly as coded (b) spots patterns in data (c) uses rules people wrote (d) follows fixed rules
- 27.Which of these describes how a normal program works? (a) improves with more data (b) handles unseen examples (c) uses rules people wrote (d) spots patterns in data
- 28.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) task (b) example (c) context (d) role
- 29.📋 Planning an AI project: which comes first — let it learn patterns or test on new photos? (a) let it learn patterns (b) test on new photos
- 30.🧩 “Act as a patient science teacher.” This sets the… (a) role (b) format (c) example (d) word limit
- 31.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 32.Which of these adds to bias? (a) fix wrong labels (b) test on one group only (c) add varied examples (d) test on many groups
- 33.🔍 Which is the odd one out? (a) asks for your address (b) asks to meet in person (c) asks to keep a secret (d) suggests practice
- 34.True or false: “check who is missing” helps reduce bias. (a) False (b) True
- 35.True or false: “find a trusted source” is a real way to check an AI answer. (a) True (b) False
- 36.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) predicting (c) generating (d) recognising
- 37.True or false: “in a friendly tone” sets the style or tone. (a) True (b) False
- 38.📏 “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
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39.✍️ Which prompt is clearer?
A: “Explain the difference between weather and climate with one example each.”
B: “Weather?” (a) Prompt A (b) Prompt B - 40.🗣️ A voice app understands adults but not children. What is the likely reason? (a) the phone was new (b) few child voices in data (c) children speak too fast (d) it was a rainy day
Answer key
- True
- a good fix
- copy old unfair choices
- False
- a good fix
- asks you to check facts
- check it on paper
- you do not learn
- a science museum site
- split into small asks
- the model makes a guess
- True
- what training builds
- in one short paragraph
- a named author
- never checking mistakes
- False
- bias from data
- ask different people
- add a word limit
- a grammar doubt
- a photo of your friend
- what training builds
- checking labels twice
- False
- spots patterns in data
- uses rules people wrote
- example
- let it learn patterns
- role
- work out the accuracy
- test on one group only
- suggests practice
- True
- True
- recognising
- True
- a length limit
- Prompt A
- few child voices in data
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students