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.True or false: an app asking for your date of birth means you should ask a parent or teacher first. (a) False (b) True
- 2.True or false: “Answer only: what is x if 3x + 5 = 20?” asks the AI to show the steps. (a) False (b) True
- 3.True or false: the request “solve my test paper” does the work for you. (a) True (b) False
- 4.🎂 Ask an adult first, or fine to do yourself: joining an online AI contest? (a) fine to do yourself (b) ask an adult first
- 5.True or false: “examples of every type” is good for training a model. (a) False (b) True
- 6.🧐 Fact or myth: “confident means correct”? (a) a fact (b) a myth
- 7.©️ Does this need credit: a fact from a science magazine in your report? (a) needs credit (b) your own work
- 8.📝 What is the best way to use AI for a hard maths chapter? (a) copy its answers (b) ask it to explain (c) avoid the chapter (d) ask it to do all sums
- 9.True or false: “for a 9-year-old” sets a length limit. (a) True (b) False
- 10.Which of these is a prediction? (a) what training builds (b) labelled fruit photos (c) tomorrow’s rain guess (d) recorded spoken words
- 11.🛠️ Does this make a weak prompt better: type it twice? (a) not a fix (b) a good fix
- 12.True or false: “Project ideas.” is a vague prompt. (a) True (b) False
- 13.True or false: “Explain why ice floats, in simple words.” is asking for an explanation. (a) False (b) True
- 14.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 15.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
- 16.True or false: “many varied examples” is good for training a model. (a) False (b) True
- 17.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
- 18.⏩ In machine learning, which comes first: the learned patterns or naming a new fruit photo? (a) the learned patterns (b) naming a new fruit photo
- 19.🔁 Training data, the model or a prediction: “500 labelled leaf photos”? (a) the model (b) training data (c) a prediction
-
20.✍️ Which prompt is clearer?
A: “Explain the difference between weather and climate with one example each.”
B: “Weather?” (a) Prompt A (b) Prompt B - 21.🗂️ What is the best way to use an AI practice quiz? (a) copy the answers (b) read the answers first (c) skip hard ones (d) answer before checking
- 22.Which of these is bad for training a model? (a) checking labels twice (b) labels added at random (c) correct labels (d) many varied examples
- 23.🗂️ An AI flashcard has a wrong fact. What should you do? (a) ignore it (b) correct the card (c) learn it anyway (d) throw all cards away
- 24.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) a simple rule is enough (b) needs AI (learning)
- 25.⏩ In machine learning, which comes first: what training builds or typing a new spoken word? (a) what training builds (b) typing a new spoken word
- 26.📷 The app replies “neem leaf”. That reply is the… (a) training data (b) output (c) input
- 27.True or false: “AI learns from data” is a fact about AI. (a) True (b) False
- 28.Which of these describes how a normal program works? (a) handles unseen examples (b) learns from examples (c) same steps every time (d) gives a likely answer
- 29.🧮 An AI chatbot says 15 × 7 = 104. Check it yourself: what is 15 × 7?
- 30.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Send your password to claim a prize” (a) spam (b) not spam
- 31.🔒 Can you upload a photo of your friend to an AI app? (a) no, never (b) yes, any time (c) yes, if it is funny
- 32.©️ Whose work is it: a classmate’s drawing? (a) someone else’s work (b) my own work
- 33.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) testing on training data (d) new data for testing
- 34.📋 Planning an AI project: which comes first — test on new photos or calculate percent right? (a) test on new photos (b) calculate percent right
- 35.True or false: a poem you wrote yourself is your own work (no credit needed). (a) True (b) False
- 36.🧐 Fact or myth: “AI answers need checking”? (a) a myth (b) a fact
- 37.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) not spam (b) spam
- 38.True or false: “List 3 causes of floods in simple words, one line each.” is a vague prompt. (a) False (b) True
- 39.True or false: “For example: cat → billi” is the example part of a prompt. (a) True (b) False
- 40.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
Answer key
- True
- False
- True
- ask an adult first
- True
- a myth
- needs credit
- ask it to explain
- False
- tomorrow’s rain guess
- not a fix
- True
- True
- makes something new
- good for training
- True
- not spam
- the learned patterns
- training data
- Prompt A
- answer before checking
- labels added at random
- correct the card
- needs AI (learning)
- what training builds
- output
- True
- same steps every time
- 105
- spam
- no, never
- someone else’s work
- testing on training data
- test on new photos
- True
- a fact
- not spam
- False
- True
- needs AI (learning)
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students