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.Which of these is AI that sorts, spots or predicts (not generative)? (a) making up a story (b) spotting a sick leaf (c) writing a new poem (d) writing quiz questions
- 2.🤔 An AI answer sounds very confident. Does that mean it is right? (a) yes, if it is long (b) yes, always (c) no, check it anyway
- 3.🎨 This prompt asks a generative AI for: five quiz questions on fractions. What kind of output is that? (a) text (b) music or sound (c) an image
- 4.🔦 Is a torch with an on/off switch AI? (a) yes (b) only if it is bright (c) no
- 5.🔍 Which is the odd one out? (a) use one group only (b) test on one group only (c) check who is missing (d) add more of the same
- 6.🔍 Which is the odd one out? (a) check who is missing (b) use one group only (c) test on many groups (d) fix wrong labels
- 7.True or false: “does exactly as coded” describes how AI works. (a) True (b) False
- 8.🛠️ Does this reduce bias or add to it: ask different people? (a) reduces bias (b) adds to bias
- 9.🧮 Which of these is NOT AI? (a) voice typing (b) a spam filter (c) face unlock (d) a basic calculator
- 10.Which of these is bad for training a model? (a) new data for testing (b) blurry, unclear photos (c) examples of every type (d) many varied examples
- 11.🧪 Why test a model on NEW examples? (a) to see if it works (b) to delete its data (c) to change its name (d) to make it slower
- 12.📱 What is the AI doing here: a keyboard guessing your next word? (a) recommending (b) recognising (c) predicting (d) generating
- 13.True or false: “use one group only” adds to bias. (a) False (b) True
- 14.🔍 Which is the odd one out? (a) writing a new poem (b) turning speech to text (c) inventing a recipe (d) creating a cartoon
- 15.⏩ 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
- 16.True or false: “one set rule per case” describes how a normal program works. (a) True (b) False
- 17.True or false: a car camera reading a speed sign is AI recommending something. (a) False (b) True
- 18.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
- 19.True or false: converting metres into centimetres needs AI that learns from examples. (a) True (b) False
- 20.🏠 AI or not AI: a calculator? (a) not AI (b) uses AI
- 21.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
- 22.🤖 AI or a normal program: which one “does exactly as coded”? (a) AI (b) a normal program
- 23.True or false: an image generator drawing a robot from a sentence is AI generating something new. (a) True (b) False
- 24.🏠 AI or not AI: a spam filter? (a) uses AI (b) not AI
- 25.🔍 Which is the odd one out? (a) test on one group only (b) check who is missing (c) ask different people (d) add varied examples
- 26.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) not spam (b) spam
- 27.Which of these is a fact about AI? (a) confident means correct (b) AI is never wrong (c) AI knows everything (d) AI can mix up numbers
- 28.🔍 Which is the odd one out? (a) an app translating signs (b) a stopwatch (c) a doorbell (d) a calculator
- 29.Which of these is a fact about AI? (a) AI has real feelings (b) AI is never wrong (c) long answers are true (d) AI learns from data
- 30.🔁 What is the right order? (a) model, prediction, data (b) data, model, prediction (c) prediction, data, model (d) data, prediction, model
- 31.🤖 What makes an AI system different from a normal program? (a) it is always right (b) it uses electricity (c) it has a screen (d) it learns from examples
- 32.True or false: “write a poem about the monsoon” asks for text. (a) False (b) True
- 33.🏠 AI or not AI: a digital watch? (a) uses AI (b) not AI
- 34.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) a prediction (c) the model
- 35.True or false: “spots patterns in data” describes how AI works. (a) False (b) True
- 36.Which of these is bad for training a model? (a) testing on training data (b) clear, sharp examples (c) correct labels (d) many varied examples
- 37.Which of these is a fact about AI? (a) long answers are true (b) AI knows everything (c) AI can make up facts (d) AI has real feelings
- 38.🔍 Which is the odd one out? (a) sorting photos by face (b) drawing a new picture (c) drafting a letter (d) inventing a recipe
- 39.🏠 AI or not AI: a map predicting traffic? (a) not AI (b) uses AI
- 40.True or false: “never learns from data” describes how a normal program works. (a) False (b) True
Answer key
- spotting a sick leaf
- no, check it anyway
- text
- no
- check who is missing
- use one group only
- False
- reduces bias
- a basic calculator
- blurry, unclear photos
- to see if it works
- predicting
- True
- turning speech to text
- the learned patterns
- True
- False
- bad for training
- False
- not AI
- False
- a normal program
- True
- uses AI
- test on one group only
- spam
- AI can mix up numbers
- an app translating signs
- AI learns from data
- data, model, prediction
- it learns from examples
- True
- not AI
- a prediction
- True
- testing on training data
- AI can make up facts
- sorting photos by face
- uses AI
- True
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students