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.🎨 This prompt asks a generative AI for: a logo idea for the eco club. What kind of output is that? (a) music or sound (b) an image (c) text
- 2.✨ Generative or not: sorting photos by face? (a) sorts or predicts (b) makes something new
- 3.⏩ In machine learning, which comes first: flagging a new email or the learned patterns? (a) flagging a new email (b) the learned patterns
- 4.🎨 An image generator makes a picture from… (a) your password (b) a text description (c) a phone number (d) the weather
- 5.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) trust the textbook (b) trust the AI (c) share it online (d) stop studying
- 6.True or false: telling a cat photo from a dog photo needs AI that learns from examples. (a) False (b) True
- 7.🔍 Which is the odd one out? (a) many varied examples (b) correct labels (c) only one kind of example (d) photos in many lights
- 8.🔦 Is a torch with an on/off switch AI? (a) no (b) only if it is bright (c) yes
- 9.Which of these describes how a normal program works? (a) handles unseen examples (b) spots patterns in data (c) improves with more data (d) does exactly as coded
- 10.True or false: “it answered quickly” is NOT a real way to check an AI answer. (a) False (b) True
- 11.🔍 Which is the odd one out? (a) a fan regulator (b) a microwave timer (c) a printed timetable (d) an image generator
- 12.📅 An AI gives a date for a history event. How can you check? (a) guess (b) pick a lucky number (c) ask it to repeat (d) look in your textbook
- 13.⚖️ One-sided or balanced data: photos of people of many ages and skin tones? (a) one-sided data (b) balanced data
- 14.True or false: “handles unseen examples” describes how AI works. (a) True (b) False
- 15.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
- 16.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
- 17.True or false: stories where every doctor is a man is one-sided data (likely to make a biased model). (a) True (b) False
- 18.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) what training builds (d) typing a new spoken word
- 19.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) spam (b) not spam
- 20.True or false: the message “You won a free phone! Click now!” should be labelled “not spam”. (a) False (b) True
- 21.True or false: “wrong labels” is good for training a model. (a) False (b) True
- 22.💬 What do we call the request you type to a generative AI? (a) a password (b) a battery (c) a prompt (d) a label
- 23.Which of these is a myth about AI? (a) AI is never wrong (b) AI answers need checking (c) AI can mix up numbers (d) AI learns from data
- 24.Which of these describes how AI works? (a) uses rules people wrote (b) never learns from data (c) makes a best guess (d) same steps every time
- 25.True or false: “AI can mix up numbers” is a myth about AI. (a) False (b) True
- 26.🔁 What is the right order? (a) data, prediction, model (b) model, prediction, data (c) prediction, data, model (d) data, model, prediction
- 27.⚖️ One-sided or balanced data: leaves from every season of the year? (a) balanced data (b) one-sided data
- 28.🔍 Which is the odd one out? (a) a microwave timer (b) a torch (c) an AI chatbot (d) a doorbell
- 29.Which of these describes how a normal program works? (a) gives a likely answer (b) never learns from data (c) learns from examples (d) improves with more data
- 30.True or false: a music app suggesting a song you may like is AI recommending something. (a) False (b) True
- 31.🎨 This prompt asks a generative AI for: a cheerful tune for Sports Day. What kind of output is that? (a) an image (b) text (c) music or sound
- 32.⚖️ Where does bias in an AI system usually come from? (a) its training data (b) its screen size (c) its colour (d) the weather
- 33.🔍 Which is the odd one out? (a) wrong labels (b) clear, sharp examples (c) new data for testing (d) examples of every type
- 34.True or false: “copy old unfair choices” adds to bias. (a) True (b) False
- 35.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) photos in many lights (d) testing on training data
- 36.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
- 37.🔍 Which is the odd one out? (a) predicting rain (b) drafting a letter (c) composing a new tune (d) writing quiz questions
- 38.🐶 To teach a model to spot dogs in photos, what do you give it? (a) one single photo (b) a song about dogs (c) a list of rules only (d) many labelled photos
- 39.Which of these uses AI? (a) a map predicting traffic (b) a microwave timer (c) a doorbell (d) a digital watch
- 40.🏠 AI or not AI: a doorbell? (a) uses AI (b) not AI
Answer key
- an image
- sorts or predicts
- the learned patterns
- a text description
- trust the textbook
- True
- only one kind of example
- no
- does exactly as coded
- True
- an image generator
- look in your textbook
- balanced data
- True
- good for training
- False
- True
- 500 labelled leaf photos
- not spam
- False
- False
- a prompt
- AI is never wrong
- makes a best guess
- False
- data, model, prediction
- balanced data
- an AI chatbot
- never learns from data
- True
- music or sound
- its training data
- wrong labels
- True
- testing on training data
- training data
- predicting rain
- many labelled photos
- a map predicting traffic
- not AI
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students