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.🤖 Does an AI system think and feel like a person? (a) no, it finds patterns (b) yes, it gets sad (c) only on weekends (d) yes, just like us
- 2.✨ Generative or not: predicting rain? (a) makes something new (b) sorts or predicts
- 3.True or false: “gives a likely answer” describes how AI works. (a) False (b) True
- 4.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
- 5.🔍 Which is the odd one out? (a) a spam filter (b) photos grouped by face (c) a kitchen weighing scale (d) face unlock on a phone
- 6.True or false: “a logo idea for the eco club” asks for text. (a) False (b) True
- 7.🔍 Which is the odd one out? (a) very few examples (b) new data for testing (c) checking labels twice (d) clear, sharp examples
- 8.📅 An AI gives a date for a history event. How can you check? (a) pick a lucky number (b) look in your textbook (c) guess (d) ask it to repeat
- 9.True or false: “naming a new leaf” is a prediction. (a) True (b) False
- 10.🔍 Which is the odd one out? (a) spotting spam (b) creating a cartoon (c) reading number plates (d) predicting rain
- 11.📱 What is the AI doing here: turning your spoken words into typed text? (a) recommending (b) recognising (c) generating (d) predicting
- 12.🤖 AI or a normal program: which one “same steps every time”? (a) AI (b) a normal program
- 13.Which of these is a myth about AI? (a) AI is never wrong (b) AI learns from data (c) AI can mix up numbers (d) AI answers need checking
- 14.🎨 This prompt asks a generative AI for: a poster of a rainforest. What kind of output is that? (a) an image (b) text (c) music or sound
- 15.Which of these uses AI? (a) a map predicting traffic (b) a stopwatch (c) a digital watch (d) a doorbell
- 16.Which of these is a fact about AI? (a) AI always checks facts (b) AI answers need checking (c) AI knows everything (d) AI is never wrong
- 17.True or false: “test on many groups” helps reduce bias. (a) True (b) False
- 18.True or false: “uses rules people wrote” describes how AI works. (a) False (b) True
- 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Last chance! Free gift card inside” (a) spam (b) not spam
- 20.🔍 Which is the odd one out? (a) test on one group only (b) ignore complaints (c) add varied examples (d) skip testing
- 21.True or false: “find a trusted source” is NOT a real way to check an AI answer. (a) False (b) True
- 22.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
- 23.True or false: “redo the maths yourself” is NOT a real way to check an AI answer. (a) True (b) False
- 24.🤖 Who builds and trains AI systems? (a) the weather (b) nobody at all (c) the Moon (d) people
- 25.🔦 Is a torch with an on/off switch AI? (a) only if it is bright (b) no (c) yes
- 26.True or false: the message “Science project groups are on the board” should be labelled “not spam”. (a) False (b) True
- 27.🤖 What does AI stand for? (a) app installer (b) automatic internet (c) artificial intelligence (d) actual information
- 28.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
- 29.🎨 This prompt asks a generative AI for: a drawing of a cat on the Moon. What kind of output is that? (a) music or sound (b) text (c) an image
- 30.True or false: “it has a neat layout” is NOT a real way to check an AI answer. (a) False (b) True
- 31.True or false: the message “You won a free phone! Click now!” should be labelled “spam”. (a) False (b) True
- 32.True or false: “a poster of a rainforest” asks for text. (a) False (b) True
- 33.⚖️ Where does bias in an AI system usually come from? (a) the weather (b) its training data (c) its screen size (d) its colour
- 34.True or false: the message “Your library book is due on Monday” should be labelled “spam”. (a) False (b) True
- 35.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
- 36.Which of these is good for training a model? (a) copies of one photo (b) only one kind of example (c) very few examples (d) clear, sharp examples
- 37.🔍 Which is the odd one out? (a) AI answers need checking (b) AI always checks facts (c) AI can make up facts (d) AI copies data patterns
- 38.🛠️ Which does this job need: telling a cat photo from a dog photo? (a) needs AI (learning) (b) a simple rule is enough
- 39.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) training data (b) the model (c) a prediction
- 40.Which of these is bad for training a model? (a) examples of every type (b) many varied examples (c) clear, sharp examples (d) blurry, unclear photos
Answer key
- no, it finds patterns
- sorts or predicts
- True
- needs AI (learning)
- a kitchen weighing scale
- False
- very few examples
- look in your textbook
- True
- creating a cartoon
- recognising
- a normal program
- AI is never wrong
- an image
- a map predicting traffic
- AI answers need checking
- True
- False
- spam
- add varied examples
- False
- True
- False
- people
- no
- True
- artificial intelligence
- a prediction
- an image
- True
- True
- False
- its training data
- False
- good for training
- clear, sharp examples
- AI always checks facts
- needs AI (learning)
- a prediction
- blurry, unclear photos
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students