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 does AI stand for? (a) actual information (b) app installer (c) automatic internet (d) artificial intelligence
- 2.✍️ Clear or vague: “Tell me about plants.”? (a) clear (b) vague
- 3.🗂️ What study help is this prompt asking for? “Quiz me on capitals, one question at a time.” (a) a practice quiz (b) a summary (c) an explanation (d) flashcards
- 4.🔍 Which is the odd one out? (a) photos in many lights (b) clear, sharp examples (c) correct labels (d) copies of one photo
- 5.True or false: “needs lots of data” describes a learning chatbot. (a) False (b) True
- 6.🪜 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
- 7.Which of these describes how AI works? (a) follows fixed rules (b) makes a best guess (c) never learns from data (d) same steps every time
- 8.Which of these is a warning sign of a fake picture or story? (a) many trusted sources (b) the original photo found (c) calm, factual words (d) “share before it’s gone”
- 9.🔍 Which is the odd one out? (a) a calculator (b) voice typing (c) face unlock on a phone (d) a spam filter
- 10.Which of these requests does the work for you? (a) “where did I go wrong?” (b) “make practice sums” (c) “quiz me on Chapter 3” (d) “finish my homework”
- 11.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
- 12.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) generating (b) recommending (c) recognising (d) predicting
- 13.⚖️ Two handwriting reader models were tested on the same 20 handwritten letters. Model A got 14 right and Model B got 11 right. How many percentage points more accurate is Model A?
- 14.📚 Good or bad for training a model: copies of one photo? (a) good for training (b) bad for training
- 15.🧪 Why test a model on NEW examples? (a) to make it slower (b) to see if it works (c) to delete its data (d) to change its name
- 16.🔍 Which is the odd one out? (a) a kitchen weighing scale (b) a fan regulator (c) a printed timetable (d) face unlock on a phone
- 17.Which of these is bad for training a model? (a) clear, sharp examples (b) many varied examples (c) very few examples (d) photos in many lights
- 18.🔍 Which is the odd one out? (a) copy old unfair choices (b) check who is missing (c) skip testing (d) add more of the same
- 19.⏩ When you use an AI app, which happens first: the reply appears or the model finds patterns? (a) the reply appears (b) the model finds patterns
- 20.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
- 21.Which of these describes how AI works? (a) does exactly as coded (b) never learns from data (c) uses rules people wrote (d) learns from examples
- 22.🔍 Which is the odd one out? (a) asks your class level (b) says not to tell parents (c) admits it is unsure (d) says it may be wrong
- 23.Which of these is a warning sign of a fake picture or story? (a) a known news desk (b) the original photo found (c) no trusted source (d) a named author
- 24.🔍 Which is the odd one out? (a) an app translating signs (b) a voice assistant (c) a microwave timer (d) an AI chatbot
- 25.True or false: “My class just learned fractions.” is the task part of a prompt. (a) False (b) True
- 26.🔍 Which is the odd one out? (a) ignore complaints (b) balance the data (c) use one group only (d) test on one group only
- 27.Which of these uses AI? (a) a calculator (b) a light switch (c) an app translating signs (d) a fan regulator
- 28.Which of these is a myth about AI? (a) AI can make up facts (b) AI can be wrong (c) AI learns from data (d) confident means correct
- 29.True or false: “Give me just the answers to all 10 sums.” asks only for the final answer. (a) False (b) True
- 30.True or false: “Why does the Moon change shape? Explain for Class 6.” is asking for a practice quiz. (a) True (b) False
- 31.Which of these is training data? (a) naming a new leaf (b) the learned patterns (c) the trained program (d) 500 labelled leaf photos
- 32.❌ Arjun’s spam spotter was tested on 27 new messages and got 21 right. How many did it get wrong?
- 33.🔁 Training data, the model or a prediction: “naming a new fruit photo”? (a) training data (b) the model (c) a prediction
- 34.🚩 A study chatbot asks for money. Is that a red flag? (a) a red flag (b) normal
- 35.🗂️ Ishaan asks for 6 flashcards with 8 words on each. How many words is that in all?
- 36.✍️ Clear or vague: “List 3 causes of floods in simple words, one line each.”? (a) clear (b) vague
- 37.True or false: a video app suggesting what to watch next is AI generating something new. (a) False (b) True
- 38.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
- 39.📋 Planning an AI project: which comes first — fix it and test again or label each example? (a) fix it and test again (b) label each example
- 40.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) not spam (b) spam
Answer key
- artificial intelligence
- vague
- a practice quiz
- copies of one photo
- True
- to learn the method
- makes a best guess
- “share before it’s gone”
- a calculator
- “finish my homework”
- needs AI (learning)
- predicting
- 15
- bad for training
- to see if it works
- face unlock on a phone
- very few examples
- check who is missing
- the model finds patterns
- bad for training
- learns from examples
- says not to tell parents
- no trusted source
- a microwave timer
- False
- balance the data
- an app translating signs
- confident means correct
- True
- False
- 500 labelled leaf photos
- 6
- a prediction
- a red flag
- 48
- clear
- False
- balanced data
- label each example
- spam
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students