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: leaves from every season of the year is one-sided data (likely to make a biased model). (a) False (b) True
- 2.💬 Rule-based or learning chatbot: “easy to trace why”? (a) rule-based (b) learning
- 3.True or false: “checking labels twice” is bad for training a model. (a) False (b) True
- 4.True or false: “never learns from data” describes how a normal program works. (a) True (b) False
- 5.Which of these describes how a normal program works? (a) makes a best guess (b) learns from examples (c) does exactly as coded (d) spots patterns in data
- 6.📝 You used AI to get ideas for a project. What is honest? (a) say how you used it (b) say it is all yours (c) blame the AI (d) hide it
- 7.True or false: a keyboard guessing your next word is AI recommending something. (a) False (b) True
- 8.©️ Whose work is it: a quote from a book? (a) someone else’s work (b) my own work
- 9.🔍 Which is the odd one out? (a) clear, sharp examples (b) correct labels (c) very few examples (d) checking labels twice
- 10.Which of these should be kept private — never share it with an AI chatbot? (a) a one-time password (b) a science question (c) a topic for a quiz (d) a riddle to solve
- 11.✨ Generative or not: writing quiz questions? (a) makes something new (b) sorts or predicts
- 12.📏 “Explain magnets in under 40 words.” What kind of constraint is this? (a) a password (b) a picture (c) a role (d) a length limit
- 13.🔍 Which is the odd one out? (a) your spelling list (b) your name and school (c) a riddle to solve (d) a maths sum to explain
- 14.🛠️ Does this make a weak prompt better: add your class level? (a) a good fix (b) not a fix
- 15.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) the model (b) training data (c) a prediction
- 16.🔍 Which is the odd one out? (a) a spam filter (b) voice typing (c) a light switch (d) photos grouped by face
- 17.🛠️ Does this reduce bias or add to it: ignore complaints? (a) adds to bias (b) reduces bias
- 18.True or false: “asking the same AI again” is NOT a real way to check an AI answer. (a) False (b) True
- 19.Which of these is a good sign (but still check)? (a) fits other reports (b) no date or author (c) mismatched earrings (d) “share before it’s gone”
- 20.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
- 21.True or false: “says it may be wrong” is normal for a study chatbot. (a) False (b) True
- 22.🔍 Which is the odd one out? (a) creating a cartoon (b) turning speech to text (c) sorting photos by face (d) suggesting a video
- 23.🗂️ Kabir asks for 8 flashcards with 10 words on each. How many words is that in all?
- 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) writing quiz questions (b) inventing a recipe (c) spotting a sick leaf (d) composing a new tune
- 25.True or false: “match it to the textbook” is NOT a real way to check an AI answer. (a) True (b) False
- 26.🔍 Which is the odd one out? (a) a chapter name (b) your spelling list (c) a story idea (d) your live location
- 27.True or false: the request “explain it more simply” helps you learn. (a) False (b) True
- 28.📚 An AI chatbot names a book that does not exist. This is called… (a) a backup (b) a password (c) a summary (d) a hallucination
- 29.True or false: asking it to quiz you before a test is an honest way to use AI for homework. (a) False (b) True
- 30.🧐 Fact or myth: “AI is never wrong”? (a) a myth (b) a fact
- 31.True or false: “in very simple words” sets a length limit. (a) False (b) True
- 32.📲 Input, model or output: “the typed reply”? (a) the model (b) the input (c) the output
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33.✍️ Which prompt is clearer?
A: “Give me 10 questions on the 7 times table, with answers at the end.”
B: “Give me some maths.” (a) Prompt A (b) Prompt B - 34.📖 The AI answer and your textbook disagree. What should you do? (a) pick at random (b) ask your teacher (c) trust the AI (d) skip the question
- 35.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to see if it learned (d) to make it bigger
- 36.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 37.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
- 38.📝 Honest use or copying: asking for a simpler explanation of a chapter? (a) not honest (b) honest use
- 39.Which of these describes how AI works? (a) follows fixed rules (b) one set rule per case (c) learns from examples (d) does exactly as coded
- 40.True or false: “Shorten my notes on magnets to half a page.” is asking for an explanation. (a) True (b) False
Answer key
- False
- rule-based
- False
- True
- does exactly as coded
- say how you used it
- False
- someone else’s work
- very few examples
- a one-time password
- makes something new
- a length limit
- your name and school
- a good fix
- a prediction
- a light switch
- adds to bias
- True
- fits other reports
- True
- True
- creating a cartoon
- 80
- spotting a sick leaf
- False
- your live location
- True
- a hallucination
- True
- a myth
- False
- the output
- Prompt A
- ask your teacher
- to see if it learned
- 15
- True
- honest use
- learns from examples
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students