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.🏠 AI or not AI: an AI chatbot? (a) not AI (b) uses AI
- 2.✨ Generative or not: drawing a new picture? (a) sorts or predicts (b) makes something new
- 3.Which of these is good for training a model? (a) labels added at random (b) many varied examples (c) only one kind of example (d) testing on training data
- 4.True or false: “asks for your address” is normal for a study chatbot. (a) False (b) True
- 5.True or false: “Check my essay for spelling mistakes.” is the task part of a prompt. (a) True (b) False
- 6.True or false: a camera app naming the flower you point at is AI recommending something. (a) False (b) True
- 7.📄 A chapter has 600 words. Meera asks an AI chatbot for a summary one tenth as long. How many words should the summary have?
- 8.True or false: “AI is never wrong” is a myth about AI. (a) True (b) False
- 9.📚 Good or bad for training a model: testing on training data? (a) bad for training (b) good for training
- 10.❌ Arjun’s recycling sorter was tested on 27 new waste photos and got 24 right. How many did it get wrong?
- 11.📏 What kind of constraint is “in a funny way”? (a) a reading level (b) a style or tone (c) a length limit (d) what to include
- 12.True or false: “very few examples” is bad for training a model. (a) True (b) False
- 13.©️ Whose work is it: a story I made up? (a) my own work (b) someone else’s work
- 14.🧩 Why add an example to a prompt? (a) to confuse the AI (b) to make it longer (c) to hide the task (d) to show the style
- 15.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI can mix up numbers (d) AI always checks facts
- 16.True or false: turning your spoken words into typed text is AI recommending something. (a) False (b) True
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17.✍️ Which prompt is clearer?
A: “Names please.”
B: “Suggest 4 names for our eco club, each under 3 words.” (a) Prompt A (b) Prompt B - 18.📚 Smart or poor way to study with AI: asking it to do homework? (a) smart study (b) poor study
- 19.🔮 A trained model sees a new photo and says “mango”. This is… (a) a label error (b) a prediction (c) training data (d) a password
- 20.True or false: the request “make practice sums” does the work for you. (a) False (b) True
- 21.True or false: “Quiz me on capitals, one question at a time.” is asking for flashcards. (a) True (b) False
- 22.🔁 What is the right order in a simple AI app? (a) output → input → model (b) model → output → input (c) input → model → output
- 23.🎂 Ask an adult first, or fine to do yourself: taking a break from the screen? (a) fine to do yourself (b) ask an adult first
- 24.True or false: “AI knows everything” is a fact about AI. (a) True (b) False
- 25.🧪 Why must you test a model on examples it has NOT seen? (a) to make it bigger (b) to make it faster (c) to see if it learned (d) to save paper
- 26.True or false: “a song on the radio” is my own work. (a) False (b) True
- 27.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) photos in many lights (d) wrong labels
- 28.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) a prediction (b) the model (c) training data
- 29.Which of these says what to include? (a) with one example (b) in 2 lines only (c) like a news report (d) in 3 sentences or fewer
- 30.🤖 A chatbot answers “hello” but not “hii”. Which kind is it likely to be? (a) generative (b) learning (c) rule-based
- 31.⚖️ Two leaf identifier models were tested on the same 25 leaf photos. Model A got 23 right and Model B got 22 right. How many percentage points more accurate is Model A?
- 32.🔍 Which is the odd one out? (a) a spam filter (b) face unlock on a phone (c) a light switch (d) an app translating signs
- 33.⚖️ Two recycling sorter models were tested on the same 25 waste photos. Model A got 14 right and Model B got 13 right. How many percentage points more accurate is Model A?
- 34.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its colour (c) its screen size (d) the weather
- 35.🔁 Learning a hard sum with AI: which should you do first — solve a new one alone or ask for one hint? (a) solve a new one alone (b) ask for one hint
- 36.Which of these should be kept private — never share it with an AI chatbot? (a) a topic for a quiz (b) a grammar doubt (c) a bank card number (d) a science question
- 37.📦 What happens during training? (a) it charges up (b) it takes photos (c) it learns patterns (d) it prints labels
- 38.True or false: “Names please.” is a vague prompt. (a) False (b) True
- 39.True or false: “same steps every time” describes how a normal program works. (a) True (b) False
- 40.🔒 Keep it private or okay to share with an AI chatbot: a word you don’t know? (a) keep it private (b) okay to share
Answer key
- uses AI
- makes something new
- many varied examples
- False
- True
- False
- 60
- True
- bad for training
- 3
- a style or tone
- True
- my own work
- to show the style
- AI can mix up numbers
- False
- Prompt B
- poor study
- a prediction
- False
- False
- input → model → output
- fine to do yourself
- False
- to see if it learned
- False
- photos in many lights
- training data
- with one example
- rule-based
- 4
- a light switch
- 4
- its training data
- ask for one hint
- a bank card number
- it learns patterns
- True
- True
- okay to share
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students