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: “ask different people” adds to bias. (a) False (b) True
- 2.🔍 Which is the odd one out? (a) the original photo found (b) matches the textbook (c) a shocking headline (d) a named author
- 3.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) drafting a letter (c) sorting photos by face (d) drawing a new picture
- 4.True or false: “name the exact topic” makes a weak prompt better. (a) True (b) False
- 5.🪜 Why ask an AI chatbot to show the steps? (a) to get a longer answer (b) to make it slower (c) to learn the method (d) to copy faster
- 6.True or false: “tomorrow’s rain guess” is training data. (a) False (b) True
- 7.🔍 Which is the odd one out? (a) offers a quiz (b) says it may be wrong (c) suggests practice (d) asks for money
- 8.🛠️ Does this make a weak prompt better: add a word limit? (a) a good fix (b) not a fix
- 9.Which of these does not make a prompt better? (a) ask for steps (b) say the format you want (c) name the exact topic (d) type it twice
- 10.Which of these does not make a prompt better? (a) leave out the topic (b) add a word limit (c) give an example (d) say the format you want
- 11.✍️ Clear or vague: “Explain photosynthesis to a Class 6 student in 5 short steps.”? (a) vague (b) clear
- 12.🤖 Who builds and trains AI systems? (a) nobody at all (b) people (c) the weather (d) the Moon
- 13.True or false: a book app suggesting a story like your last one is AI predicting something. (a) True (b) False
- 14.🖼️ Warning sign or good sign: “share before it’s gone”? (a) a warning sign (b) a good sign
- 15.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
- 16.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
- 17.True or false: the request “solve my test paper” does the work for you. (a) False (b) True
- 18.True or false: asking it to explain a sum you got wrong is an honest way to use AI for homework. (a) False (b) True
- 19.🧩 Which part of a prompt is this? “Write it as a short dialogue.” (a) example (b) format (c) context (d) role
- 20.🔒 What happens to what you type into many AI apps? (a) it vanishes forever (b) it may be stored (c) it becomes secret (d) it turns into music
- 21.True or false: “needs lots of data” describes a learning chatbot. (a) True (b) False
- 22.🔍 Which is the odd one out? (a) correct labels (b) photos in many lights (c) clear, sharp examples (d) blurry, unclear photos
- 23.🏷️ What is a “label” in machine learning? (a) a sticker on a laptop (b) the price (c) the right answer tag (d) the font size
- 24.True or false: “long answers are true” is a myth about AI. (a) False (b) True
- 25.Which of these is okay to share with an AI chatbot? (a) a maths sum to explain (b) your password (c) your phone number (d) your live location
- 26.📚 Smart or poor way to study with AI: skipping the textbook? (a) smart study (b) poor study
- 27.🤖 AI or a normal program: which one “one set rule per case”? (a) a normal program (b) AI
- 28.True or false: “Names please.” is a clear prompt. (a) True (b) False
- 29.True or false: getting ideas, then writing in your own words is an honest way to use AI for homework. (a) True (b) False
- 30.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) text (b) music or sound (c) an image
- 31.📲 Input, model or output: “the part that decides”? (a) the output (b) the input (c) the model
- 32.Which of these is good for training a model? (a) correct labels (b) wrong labels (c) testing on training data (d) blurry, unclear photos
- 33.Which of these is training data? (a) what training builds (b) the trained program (c) 500 labelled leaf photos (d) flagging a new email
- 34.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
- 35.🎂 Ask an adult first, or fine to do yourself: an app asking for your location? (a) fine to do yourself (b) ask an adult first
- 36.🧩 “Explain volcanoes.” Which part would make it clear who it is for? (a) more capitals (b) a random emoji (c) a password (d) context
- 37.✂️ Kabir asked an AI chatbot for an answer of at most 80 words, but it wrote 93 words. How many words over the limit is that?
- 38.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
- 39.True or false: stories where every doctor is a man is balanced data (fairer for everyone). (a) True (b) False
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40.✍️ Which prompt is clearer?
A: “Quiz.”
B: “Give 5 quiz questions on the solar system with 4 options each.” (a) Prompt A (b) Prompt B
Answer key
- False
- a shocking headline
- sorting photos by face
- True
- to learn the method
- False
- asks for money
- a good fix
- type it twice
- leave out the topic
- clear
- people
- False
- a warning sign
- learn from data
- True
- True
- True
- format
- it may be stored
- True
- blurry, unclear photos
- the right answer tag
- True
- a maths sum to explain
- poor study
- a normal program
- False
- True
- music or sound
- the model
- correct labels
- 500 labelled leaf photos
- a prediction
- ask an adult first
- context
- 13
- a prediction
- False
- Prompt B
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students