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.True or false: “500 labelled leaf photos” is training data. (a) True (b) False
- 2.🔍 Which is the odd one out? (a) many varied examples (b) only one kind of example (c) testing on training data (d) copies of one photo
- 3.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
- 4.True or false: mangoes both raw and ripe is balanced data (fairer for everyone). (a) False (b) True
- 5.Which of these helps reduce bias? (a) add varied examples (b) test on one group only (c) skip testing (d) copy old unfair choices
- 6.🏠 AI or not AI: a microwave timer? (a) uses AI (b) not AI
- 7.🏷️ 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
- 8.Which of these uses AI? (a) a torch (b) a stopwatch (c) a printed timetable (d) voice typing
- 9.🤖 AI or a normal program: which one “spots patterns in data”? (a) a normal program (b) AI
- 10.True or false: “a poster of a rainforest” asks for music or sound. (a) False (b) True
- 11.Which of these is a prediction? (a) old emails marked spam (b) what training builds (c) typing a new spoken word (d) past weather records
- 12.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
- 13.🔍 Which is the odd one out? (a) a torch (b) a digital watch (c) a doorbell (d) an AI chatbot
- 14.📚 Good or bad for training a model: very few examples? (a) bad for training (b) good for training
- 15.Which of these adds to bias? (a) balance the data (b) add varied examples (c) skip testing (d) test on many groups
- 16.True or false: “a drawing of a cat on the Moon” asks for an image. (a) False (b) True
- 17.True or false: “it is long and detailed” is NOT a real way to check an AI answer. (a) False (b) True
- 18.True or false: suggesting the next word as you type only needs a simple fixed rule. (a) True (b) False
- 19.🧐 Fact or myth: “AI copies data patterns”? (a) a fact (b) a myth
- 20.True or false: a shop guessing how many umbrellas will sell is AI recommending something. (a) True (b) False
- 21.🤖 AI or a normal program: which one “improves with more data”? (a) a normal program (b) AI
- 22.🔍 Which is the odd one out? (a) a stopwatch (b) a torch (c) a microwave timer (d) voice typing
- 23.Which of these describes how a normal program works? (a) spots patterns in data (b) improves with more data (c) uses rules people wrote (d) learns from examples
- 24.✨ What does generative AI do? (a) makes new content (b) only adds numbers (c) charges batteries (d) only stores files
- 25.Which of these describes how a normal program works? (a) makes a best guess (b) spots patterns in data (c) gives a likely answer (d) never learns from data
- 26.✨ Generative or not: unlocking with a face? (a) makes something new (b) sorts or predicts
- 27.Which of these is AI that sorts, spots or predicts (not generative)? (a) inventing a recipe (b) composing a new tune (c) spotting a sick leaf (d) writing quiz questions
- 28.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data
- 29.📺 A video app suggests what to watch next. What is the AI doing? (a) recommending (b) printing (c) charging (d) cooking
- 30.Which of these is bad for training a model? (a) correct labels (b) clear, sharp examples (c) very few examples (d) new data for testing
- 31.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) training data (d) a prediction
- 32.🧠 Machine learning is a way for computers to… (a) clean screens (b) print pages (c) charge faster (d) learn from data
- 33.🔍 Which is the odd one out? (a) an app translating signs (b) a voice assistant (c) a torch (d) face unlock on a phone
- 34.🔍 Which is the odd one out? (a) a torch (b) video suggestions (c) a calculator (d) a microwave timer
- 35.Which of these describes how AI works? (a) uses rules people wrote (b) learns from examples (c) one set rule per case (d) never learns from data
- 36.True or false: “tomorrow’s rain guess” is a prediction. (a) True (b) False
- 37.✨ Generative or not: reading number plates? (a) makes something new (b) sorts or predicts
- 38.🤖 Does an AI system think and feel like a person? (a) only on weekends (b) yes, it gets sad (c) no, it finds patterns (d) yes, just like us
- 39.🏷️ What is a “label” in machine learning? (a) the right answer tag (b) a sticker on a laptop (c) the price (d) the font size
- 40.💬 What do we call the request you type to a generative AI? (a) a label (b) a password (c) a battery (d) a prompt
Answer key
- True
- many varied examples
- False
- True
- add varied examples
- not AI
- not spam
- voice typing
- AI
- False
- typing a new spoken word
- a normal program
- an AI chatbot
- bad for training
- skip testing
- True
- True
- False
- a fact
- False
- AI
- voice typing
- uses rules people wrote
- makes new content
- never learns from data
- sorts or predicts
- spotting a sick leaf
- one-sided data
- recommending
- very few examples
- a prediction
- learn from data
- a torch
- video suggestions
- learns from examples
- True
- sorts or predicts
- no, it finds patterns
- the right answer tag
- a prompt
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students