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 of these is the model? (a) labelled fruit photos (b) past weather records (c) flagging a new email (d) the learned patterns
- 2.True or false: “guesses likely replies” describes a rule-based chatbot. (a) False (b) True
-
3.🔢 How many words are in this prompt?
“Describe why we have seasons for a Class 5 student.” - 4.🔍 Which is the odd one out? (a) AI always checks facts (b) AI is never wrong (c) AI learns from data (d) AI knows everything
- 5.📦 Meera collected 160 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 6.🔎 Before sharing a surprising post, which comes first — pause before sharing or share only if true? (a) pause before sharing (b) share only if true
- 7.True or false: “match it to the textbook” is a real way to check an AI answer. (a) False (b) True
- 8.❌ Tara’s recycling sorter was tested on 29 new waste photos and got 20 right. How many did it get wrong?
- 9.True or false: getting ideas, then writing in your own words is NOT honest use. (a) True (b) False
- 10.🪜 An AI shows steps for a sum. What should you do with them? (a) copy them blindly (b) ignore them (c) delete them (d) check each step
- 11.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
- 12.True or false: “My class just learned fractions.” is the example part of a prompt. (a) True (b) False
- 13.🧐 Fact or myth: “AI always checks facts”? (a) a fact (b) a myth
- 14.Which of these is generative AI (it makes something new)? (a) reading number plates (b) predicting rain (c) making up a story (d) spotting spam
- 15.True or false: turning your spoken words into typed text is AI predicting something. (a) False (b) True
- 16.🔁 Training data, the model or a prediction: “flagging a new email”? (a) a prediction (b) the model (c) training data
- 17.🛠️ Does this reduce bias or add to it: balance the data? (a) adds to bias (b) reduces bias
- 18.🤖 AI or a normal program: which one “never learns from data”? (a) a normal program (b) AI
- 19.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) ask it to repeat (d) guess
- 20.📱 What is the AI doing here: an AI chatbot writing a poem about rain? (a) recognising (b) predicting (c) generating (d) recommending
- 21.🔒 An AI chatbot asks for your home address. What should you do? (a) say no, tell an adult (b) share it quickly (c) give a friend’s (d) share half of it
- 22.🪜 What does this prompt ask for? “One word answer: is 91 prime?” (a) asks only for the answer (b) asks for steps
- 23.True or false: “asking the same AI again” is a real way to check an AI answer. (a) False (b) True
- 24.🔍 Which is the odd one out? (a) labels added at random (b) examples of every type (c) only one kind of example (d) wrong labels
- 25.Which of these is generative AI (it makes something new)? (a) reading number plates (b) drawing a new picture (c) unlocking with a face (d) predicting rain
- 26.🔁 Learning a hard sum with AI: which should you do first — ask for one hint or have a go on your own? (a) ask for one hint (b) have a go on your own
- 27.🎂 Ask an adult first, or fine to do yourself: an app asking to use your camera? (a) fine to do yourself (b) ask an adult first
-
28.🛠️ Which is the improved prompt?
A: “Write a 6-line funny poem about a cat who loves mangoes.”
B: “Write a poem.” (a) Prompt A (b) Prompt B - 29.✨ Generative or not: making up a story? (a) makes something new (b) sorts or predicts
- 30.📋 Planning an AI project: which comes first — collect fruit photos or try unseen examples? (a) collect fruit photos (b) try unseen examples
- 31.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
- 32.Which of these describes how a normal program works? (a) learns from examples (b) uses rules people wrote (c) handles unseen examples (d) gives a likely answer
- 33.🔍 Which is the odd one out? (a) gives an example (b) asks your class level (c) explains a topic (d) asks to meet in person
- 34.📱 What is the AI doing here: an image generator drawing a robot from a sentence? (a) predicting (b) recommending (c) recognising (d) generating
- 35.🔍 Which is the odd one out? (a) checking labels twice (b) clear, sharp examples (c) blurry, unclear photos (d) photos in many lights
- 36.📖 Is this a good source to check an AI answer against: an encyclopedia? (a) not a good source (b) a good source
- 37.📦 What happens during training? (a) it prints labels (b) it takes photos (c) it learns patterns (d) it charges up
- 38.🚩 A study chatbot asks for your address. Is that a red flag? (a) normal (b) a red flag
-
39.✍️ Which prompt is clearer?
A: “Give 5 quiz questions on the solar system with 4 options each.”
B: “Quiz.” (a) Prompt A (b) Prompt B - 40.🧮 An AI chatbot says 22 × 7 = 153. Check it yourself: what is 22 × 7?
Answer key
- the learned patterns
- False
- 10
- AI learns from data
- 128
- pause before sharing
- True
- 9
- False
- check each step
- good for training
- False
- a myth
- making up a story
- False
- a prediction
- reduces bias
- a normal program
- look in your textbook
- generating
- say no, tell an adult
- asks only for the answer
- False
- examples of every type
- drawing a new picture
- have a go on your own
- ask an adult first
- Prompt A
- makes something new
- collect fruit photos
- AI
- uses rules people wrote
- asks to meet in person
- generating
- blurry, unclear photos
- a good source
- it learns patterns
- a red flag
- Prompt A
- 154
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students