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.💬 Rule-based or learning chatbot: “handles new wording”? (a) learning (b) rule-based
- 2.📚 An AI chatbot names a book that does not exist. This is called… (a) a hallucination (b) a backup (c) a summary (d) a password
- 3.❌ Ishaan’s leaf identifier was tested on 34 new leaf photos and got 27 right. How many did it get wrong?
- 4.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) fewer examples (b) a louder speaker (c) more labelled examples (d) a new colour screen
- 5.True or false: “Explain how rainbows form.” is the role part of a prompt. (a) True (b) False
- 6.True or false: “wrong labels” is bad for training a model. (a) True (b) False
- 7.Which of these is training data? (a) old emails marked spam (b) tomorrow’s rain guess (c) what training builds (d) typing a new spoken word
- 8.Which of these is the model? (a) tomorrow’s rain guess (b) old emails marked spam (c) 500 labelled leaf photos (d) the learned patterns
- 9.©️ Who owns the copyright of a song? (a) the person who made it (b) anyone who hears it (c) the radio (d) nobody at all
- 10.🔍 Which is the odd one out? (a) a chapter name (b) your phone number (c) a grammar doubt (d) a story idea
- 11.🔍 Which is the odd one out? (a) AI is never wrong (b) AI can be wrong (c) AI learns from data (d) AI can mix up numbers
- 12.Which of these uses AI? (a) a stopwatch (b) a light switch (c) a microwave timer (d) a map predicting traffic
- 13.True or false: “a maths sum to explain” is okay to share with an AI chatbot. (a) False (b) True
- 14.❌ Nisha’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
- 15.True or false: a music app suggesting a song you may like is AI generating something new. (a) False (b) True
- 16.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or try the sum yourself? (a) solve a new one alone (b) try the sum yourself
- 17.✍️ Clear or vague: “Summarise this paragraph about volcanoes in 3 bullet points for revision.”? (a) clear (b) vague
- 18.Which of these is good for training a model? (a) clear, sharp examples (b) blurry, unclear photos (c) only one kind of example (d) wrong labels
- 19.True or false: leaves from every season of the year is balanced data (fairer for everyone). (a) True (b) False
- 20.True or false: a phone unlocking when it sees your face is AI recognising something. (a) True (b) False
- 21.True or false: “what training builds” is training data. (a) False (b) True
- 22.⏩ In machine learning, which comes first: the learned patterns or flagging a new email? (a) the learned patterns (b) flagging a new email
- 23.🎯 Rohan’s fruit sorter is 80% accurate. If it is tested on 80 new fruit photos, how many should it get right?
- 24.©️ What does “giving credit” mean? (a) hiding the source (b) adding a filter (c) paying with a card (d) saying who made it
- 25.Which of these is someone else’s work (credit it)? (a) a song on the radio (b) a poem I wrote (c) a tune I made up (d) a story I made up
- 26.🔍 Which is the odd one out? (a) your name and school (b) your home address (c) your password (d) a science question
- 27.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) a prediction (b) training data (c) the model
- 28.Which of these is the model? (a) tomorrow’s rain guess (b) naming a new leaf (c) recorded spoken words (d) what training builds
- 29.🪜 Why ask an AI chatbot to show the steps? (a) to make it slower (b) to get a longer answer (c) to copy faster (d) to learn the method
- 30.True or false: “Quiz.” is a vague prompt. (a) False (b) True
- 31.🔒 An AI chatbot asks for your home address. What should you do? (a) share it quickly (b) say no, tell an adult (c) give a friend’s (d) share half of it
- 32.🧩 “Act as a patient science teacher.” This sets the… (a) word limit (b) format (c) example (d) role
- 33.Which of these uses AI? (a) video suggestions (b) a doorbell (c) a stopwatch (d) a torch
- 34.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
- 35.📲 Input, model or output: “your spoken words”? (a) the model (b) the input (c) the output
- 36.True or false: “handles new wording” describes a rule-based chatbot. (a) False (b) True
- 37.🧩 Which part of a prompt is this? “Like this: 2 + 3 = 5” (a) example (b) context (c) role (d) format
- 38.Which of these is my own work? (a) a photo from a website (b) a poet’s famous poem (c) a tune I made up (d) a song on the radio
- 39.Which of these is good for training a model? (a) wrong labels (b) very few examples (c) correct labels (d) testing on training data
- 40.True or false: the request “check my draft” does the work for you. (a) True (b) False
Answer key
- learning
- a hallucination
- 7
- more labelled examples
- False
- True
- old emails marked spam
- the learned patterns
- the person who made it
- your phone number
- AI is never wrong
- a map predicting traffic
- True
- 2
- False
- try the sum yourself
- clear
- clear, sharp examples
- True
- True
- False
- the learned patterns
- 64
- saying who made it
- a song on the radio
- a science question
- a prediction
- what training builds
- to learn the method
- True
- say no, tell an adult
- role
- video suggestions
- one-sided data
- the input
- False
- example
- a tune I made up
- correct labels
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students