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.🔁 What is the right order? (a) model, prediction, data (b) prediction, data, model (c) data, model, prediction (d) data, prediction, model
- 2.🔎 Checking an AI answer: which do you do first — compare the facts or fix your notes? (a) compare the facts (b) fix your notes
- 3.🔍 Which is the odd one out? (a) use unclear slang (b) add exclamation marks (c) add lots of emojis (d) name the exact topic
- 4.📏 Arjun wants a 70-word answer split into 2 equal points. How many words should each point have?
- 5.💬 Does this request help you learn, or do the work for you? “solve my test paper” (a) helps you learn (b) does it for you
- 6.🔎 Checking an AI answer: which do you do first — compare the facts or correct the mistakes? (a) compare the facts (b) correct the mistakes
- 7.True or false: “Write a message.” is a clear prompt. (a) True (b) False
- 8.🧪 Why test a model on NEW examples? (a) to make it slower (b) to delete its data (c) to see if it works (d) to change its name
- 9.Which of these is a fact about AI? (a) confident means correct (b) AI can be wrong (c) long answers are true (d) AI is never wrong
- 10.🔍 Which is the odd one out? (a) AI learns from data (b) AI can make up facts (c) AI copies data patterns (d) AI always checks facts
- 11.🐶 To teach a model to spot dogs in photos, what do you give it? (a) many labelled photos (b) a song about dogs (c) one single photo (d) a list of rules only
- 12.Which of these is AI that sorts, spots or predicts (not generative)? (a) composing a new tune (b) writing quiz questions (c) reading number plates (d) drawing a new picture
- 13.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recognising (c) recommending (d) predicting
- 14.True or false: sorting names in A to Z order needs AI that learns from examples. (a) True (b) False
- 15.📖 Is this a good source to check an AI answer against: a library book? (a) not a good source (b) a good source
- 16.Which of these is bad for training a model? (a) examples of every type (b) blurry, unclear photos (c) new data for testing (d) correct labels
- 17.🎂 Where can you find an app’s age rule? (a) in the weather report (b) nowhere (c) its terms or rules page (d) on its logo
- 18.Which of these is stage 1 (try it yourself)? (a) have a go on your own (b) try a similar sum alone (c) ask for the steps (d) solve a new one alone
- 19.✨ Is everything a generative AI makes true? (a) only on Mondays (b) yes, always (c) no, it can be wrong
- 20.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) training data (b) a prediction (c) the model
- 21.Which of these is someone else’s work (credit it)? (a) a tune I made up (b) a picture I drew (c) a song on the radio (d) a photo I took
- 22.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
- 23.🔒 What happens to what you type into many AI apps? (a) it turns into music (b) it becomes secret (c) it vanishes forever (d) it may be stored
- 24.True or false: a car camera reading a speed sign is AI generating something new. (a) False (b) True
- 25.True or false: “AI can make up facts” is a fact about AI. (a) False (b) True
- 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
- 27.Which of these is the model? (a) recorded spoken words (b) the learned patterns (c) 500 labelled leaf photos (d) typing a new spoken word
- 28.True or false: “in a funny way” sets the reading level. (a) False (b) True
- 29.✍️ Clear or vague: “Make a checklist of 8 things to pack for a school trip to the hills.”? (a) clear (b) vague
- 30.True or false: “copies of one photo” is good for training a model. (a) False (b) True
- 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a prediction (b) a password (c) a label error (d) training data
- 32.🔎 Checking an AI answer: which do you do first — fix your notes or compare the facts? (a) fix your notes (b) compare the facts
- 33.🔁 What is the right order in a simple AI app? (a) input → model → output (b) model → output → input (c) output → input → model
- 34.📚 Smart or poor way to study with AI: fix any wrong flashcard? (a) smart study (b) poor study
- 35.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) a prediction (c) training data
- 36.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
- 37.Which of these says what to include? (a) in a formal tone (b) for a Class 3 student (c) in under 50 words (d) include 2 Indian rivers
- 38.📋 Planning an AI project: which comes first — tag each photo by type or gather many examples? (a) tag each photo by type (b) gather many examples
- 39.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) examples of every type (d) copies of one photo
- 40.True or false: an AI chatbot writing a poem about rain is AI recognising something. (a) False (b) True
Answer key
- data, model, prediction
- compare the facts
- name the exact topic
- 35
- does it for you
- compare the facts
- False
- to see if it works
- AI can be wrong
- AI always checks facts
- many labelled photos
- reading number plates
- predicting
- False
- a good source
- blurry, unclear photos
- its terms or rules page
- have a go on your own
- no, it can be wrong
- a prediction
- a song on the radio
- True
- it may be stored
- False
- True
- not spam
- the learned patterns
- False
- clear
- False
- a prediction
- compare the facts
- input → model → output
- smart study
- training data
- spam
- include 2 Indian rivers
- gather many examples
- copies of one photo
- False
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students