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.🔍 Which is the odd one out? (a) a doorbell (b) an image generator (c) a fan regulator (d) a microwave timer
- 2.True or false: “past weather records” is a prediction. (a) True (b) False
- 3.🔍 Which is the odd one out? (a) new data for testing (b) blurry, unclear photos (c) checking labels twice (d) clear, sharp examples
- 4.Which of these is a good source to check against? (a) a rumour from a friend (b) a science museum site (c) a funny meme (d) a forwarded message
- 5.🤔 An AI answer sounds very confident. Does that mean it is right? (a) no, check it anyway (b) yes, if it is long (c) yes, always
- 6.Which of these is bad for training a model? (a) very few examples (b) new data for testing (c) examples of every type (d) many varied examples
- 7.📏 “Explain in simple words for a 10-year-old.” This sets the… (a) page number (b) reading level (c) battery level (d) font colour
- 8.📱 What is the AI doing here: a video app suggesting what to watch next? (a) recognising (b) predicting (c) recommending (d) generating
- 9.True or false: “it answered quickly” is a real way to check an AI answer. (a) False (b) True
- 10.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
- 11.Which of these is generative AI (it makes something new)? (a) unlocking with a face (b) reading number plates (c) writing quiz questions (d) sorting photos by face
- 12.Which of these is bad for training a model? (a) checking labels twice (b) many varied examples (c) examples of every type (d) blurry, unclear photos
- 13.🪜 What does this prompt ask for? “Solve 3x + 5 = 20 step by step.” (a) asks only for the answer (b) asks for steps
- 14.True or false: “fails on new wording” describes a rule-based chatbot. (a) False (b) True
- 15.🔁 Training data, the model or a prediction: “recorded spoken words”? (a) training data (b) the model (c) a prediction
- 16.True or false: a photo from a website in your slides is your own work (no credit needed). (a) False (b) True
- 17.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) music or sound (b) an image (c) text
- 18.True or false: a phone unlocking when it sees your face is AI recommending something. (a) False (b) True
- 19.🛠️ Which does this job need: ringing the school bell at 9 am? (a) a simple rule is enough (b) needs AI (learning)
- 20.True or false: “name the exact topic” does not make a prompt better. (a) False (b) True
- 21.🔍 Which is the odd one out? (a) “explain this step” (b) “define ‘orbit’ for me” (c) “answer all 10 sums” (d) “check my draft”
- 22.🧪 Why must you test a model on examples it has NOT seen? (a) to save paper (b) to see if it learned (c) to make it faster (d) to make it bigger
- 23.🧩 Which part of a prompt is this? “You are a science quiz master.” (a) role (b) example (c) format (d) task
- 24.🎯 Arjun’s spam spotter is 60% accurate. If it is tested on 60 new messages, how many should it get right?
- 25.✨ What does generative AI do? (a) only stores files (b) only adds numbers (c) charges batteries (d) makes new content
- 26.❌ Ishaan’s spam spotter was tested on 39 new messages and got 36 right. How many did it get wrong?
- 27.✨ Generative or not: spotting spam? (a) makes something new (b) sorts or predicts
- 28.🪜 Why ask an AI chatbot to show the steps? (a) to get a longer answer (b) to copy faster (c) to learn the method (d) to make it slower
- 29.True or false: “examples of every type” is good for training a model. (a) True (b) False
- 30.🧩 Why add an example to a prompt? (a) to confuse the AI (b) to show the style (c) to make it longer (d) to hide the task
- 31.True or false: a fruit sorter shown only ripe mangoes is one-sided data (likely to make a biased model). (a) False (b) True
- 32.📏 What kind of constraint is “for a Class 3 student”? (a) what to include (b) a length limit (c) a reading level (d) a style or tone
- 33.Which of these is a fact about AI? (a) AI always checks facts (b) AI answers need checking (c) long answers are true (d) AI has real feelings
- 34.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True
- 35.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) generating (c) recommending (d) recognising
- 36.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
- 37.True or false: “no more than 100 words” sets a length limit. (a) True (b) False
- 38.True or false: “ask different people” helps reduce bias. (a) False (b) True
- 39.📷 In a plant-spotting app, your leaf photo is the… (a) model (b) output (c) input
- 40.Which of these adds to bias? (a) test on many groups (b) ignore complaints (c) ask different people (d) balance the data
Answer key
- an image generator
- False
- blurry, unclear photos
- a science museum site
- no, check it anyway
- very few examples
- reading level
- recommending
- False
- training data
- writing quiz questions
- blurry, unclear photos
- asks for steps
- True
- training data
- False
- an image
- False
- a simple rule is enough
- False
- “answer all 10 sums”
- to see if it learned
- role
- 36
- makes new content
- 3
- sorts or predicts
- to learn the method
- True
- to show the style
- True
- a reading level
- AI answers need checking
- False
- generating
- uses AI
- True
- True
- input
- ignore complaints
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students