AI for Kids Worksheet: Part 1 Test
AI tip (Name the idea, then answer): Learning from examples → AI; fixed rules → a normal program. Order: training data → model → prediction; good data is many, varied and correctly labelled. Generative AI makes new things and can hallucinate; one-sided data causes bias.
NameDateTime takenScore ___ / 40
- 1.⌨️ Your phone keyboard suggests the next word. What is the AI doing? (a) predicting (b) sleeping (c) singing (d) drawing
- 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, always (b) yes, if it is long (c) no, check it anyway
- 3.💬 What do we call the request you type to a generative AI? (a) a label (b) a battery (c) a password (d) a prompt
- 4.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) spotting spam (c) drawing a new picture (d) making up a story
- 5.True or false: “a soft lullaby melody” asks for text. (a) True (b) False
- 6.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
- 7.📦 What happens during training? (a) it takes photos (b) it prints labels (c) it learns patterns (d) it charges up
- 8.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
- 9.🧐 Fact or myth: “AI can mix up numbers”? (a) a myth (b) a fact
- 10.Which of these uses AI? (a) a stopwatch (b) a kitchen weighing scale (c) an app translating signs (d) a calculator
- 11.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
- 12.🎨 This prompt asks a generative AI for: a cartoon of a dancing elephant. What kind of output is that? (a) an image (b) text (c) music or sound
- 13.Which of these describes how AI works? (a) one set rule per case (b) follows fixed rules (c) same steps every time (d) learns from examples
- 14.🏠 AI or not AI: an app translating signs? (a) uses AI (b) not AI
- 15.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
- 16.✅ Is this a real check of an AI answer: try the sum on paper? (a) not a real check (b) a real check
- 17.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
- 18.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
- 19.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) a prediction (b) the model (c) training data
- 20.Which of these is training data? (a) 500 labelled leaf photos (b) flagging a new email (c) the trained program (d) naming a new fruit photo
- 21.🛠️ Which does this job need: reading messy handwriting? (a) needs AI (learning) (b) a simple rule is enough
- 22.🔍 Which is the odd one out? (a) test on one group only (b) add more of the same (c) use one group only (d) test on many groups
- 23.⚖️ One-sided or balanced data: voices of children and adults from many regions? (a) one-sided data (b) balanced data
- 24.Which of these is AI that sorts, spots or predicts (not generative)? (a) sorting photos by face (b) drafting a letter (c) creating a cartoon (d) inventing a recipe
- 25.🤖 AI or a normal program: which one “does exactly as coded”? (a) a normal program (b) AI
- 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Match practice moved to 5 pm” (a) not spam (b) spam
- 27.🛠️ Does this reduce bias or add to it: check who is missing? (a) adds to bias (b) reduces bias
- 28.📅 An AI gives a date for a history event. How can you check? (a) ask it to repeat (b) guess (c) pick a lucky number (d) look in your textbook
- 29.🔍 Which is the odd one out? (a) AI learns from data (b) confident means correct (c) AI can mix up numbers (d) AI answers need checking
- 30.Which of these uses AI? (a) a calculator (b) a doorbell (c) a torch (d) photos grouped by face
- 31.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
- 32.🛠️ Does this reduce bias or add to it: add more of the same? (a) reduces bias (b) adds to bias
- 33.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
- 34.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
- 35.True or false: “wrong labels” is bad for training a model. (a) True (b) False
- 36.📱 What is the AI doing here: a shop guessing how many umbrellas will sell? (a) recognising (b) generating (c) predicting (d) recommending
- 37.🥭 A model saw only ripe yellow mangoes. A raw green mango arrives. What may happen? (a) it will shut down (b) it will turn yellow (c) it will be perfect (d) it may get it wrong
- 38.Which of these is a myth about AI? (a) AI answers need checking (b) AI can make up facts (c) AI can be wrong (d) confident means correct
- 39.✍️ How does an AI chatbot write its replies? (a) uses magic (b) asks a person (c) copies one website (d) predicts likely words
- 40.Which of these is bad for training a model? (a) clear, sharp examples (b) very few examples (c) many varied examples (d) correct labels
Answer key
- predicting
- no, check it anyway
- a prompt
- spotting spam
- False
- a normal program
- it learns patterns
- True
- a fact
- an app translating signs
- good for training
- an image
- learns from examples
- uses AI
- sorts or predicts
- a real check
- balanced data
- adds to bias
- a prediction
- 500 labelled leaf photos
- needs AI (learning)
- test on many groups
- balanced data
- sorting photos by face
- a normal program
- not spam
- reduces bias
- look in your textbook
- confident means correct
- photos grouped by face
- False
- adds to bias
- True
- True
- True
- predicting
- it may get it wrong
- confident means correct
- predicts likely words
- very few examples
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students