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.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) not spam (b) spam
- 2.🔍 Which is the odd one out? (a) balance the data (b) test on many groups (c) add varied examples (d) use one group only
- 3.Which of these uses AI? (a) a digital watch (b) a calculator (c) a printed timetable (d) face unlock on a phone
- 4.True or false: the message “Please buy milk on the way home” should be labelled “spam”. (a) True (b) False
- 5.Which of these is a prediction? (a) what training builds (b) the trained program (c) labelled fruit photos (d) flagging a new email
- 6.True or false: the message “Happy birthday! See you at lunch” should be labelled “not spam”. (a) True (b) False
- 7.True or false: “it uses big words” is a real way to check an AI answer. (a) False (b) True
- 8.🎨 An image generator makes a picture from… (a) a phone number (b) your password (c) a text description (d) the weather
- 9.🔍 Which is the odd one out? (a) very few examples (b) testing on training data (c) clear, sharp examples (d) copies of one photo
- 10.True or false: “a cartoon of a dancing elephant” asks for music or sound. (a) True (b) False
- 11.🔍 Which is the odd one out? (a) a voice assistant (b) photos grouped by face (c) an app translating signs (d) a torch
- 12.🔍 Which is the odd one out? (a) creating a cartoon (b) drafting a letter (c) composing a new tune (d) unlocking with a face
- 13.📚 Good or bad for training a model: checking labels twice? (a) good for training (b) bad for training
- 14.Which of these describes how a normal program works? (a) never learns from data (b) gives a likely answer (c) improves with more data (d) spots patterns in data
- 15.🧠 Machine learning is a way for computers to… (a) charge faster (b) print pages (c) clean screens (d) learn from data
- 16.📅 An AI gives a date for a history event. How can you check? (a) guess (b) ask it to repeat (c) look in your textbook (d) pick a lucky number
- 17.True or false: “checking labels twice” is bad for training a model. (a) True (b) False
- 18.🌍 An AI chatbot says the Earth has two moons. Your textbook says one. What now? (a) stop studying (b) share it online (c) trust the AI (d) trust the textbook
- 19.True or false: “clear, sharp examples” is good for training a model. (a) False (b) True
- 20.🛠️ Which does this job need: suggesting the next word as you type? (a) needs AI (learning) (b) a simple rule is enough
- 21.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
- 22.Which of these is AI that sorts, spots or predicts (not generative)? (a) spotting spam (b) writing a new poem (c) composing a new tune (d) drawing a new picture
- 23.Which of these is not AI? (a) face unlock on a phone (b) a map predicting traffic (c) a voice assistant (d) a microwave timer
- 24.Which of these describes how AI works? (a) one set rule per case (b) never learns from data (c) same steps every time (d) improves with more data
- 25.🔍 Which is the odd one out? (a) examples of every type (b) correct labels (c) photos in many lights (d) only one kind of example
- 26.True or false: “never learns from data” describes how AI works. (a) True (b) False
- 27.✨ Generative or not: inventing a recipe? (a) makes something new (b) sorts or predicts
- 28.True or false: sorting names in A to Z order needs AI that learns from examples. (a) False (b) True
- 29.📚 Good or bad for training a model: clear, sharp examples? (a) bad for training (b) good for training
- 30.Which of these is AI that sorts, spots or predicts (not generative)? (a) creating a cartoon (b) suggesting a video (c) making up a story (d) composing a new tune
- 31.🏠 AI or not AI: a kitchen weighing scale? (a) not AI (b) uses AI
- 32.🧪 Why test a model on NEW examples? (a) to change its name (b) to delete its data (c) to see if it works (d) to make it slower
- 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
- 34.🔍 Which is the odd one out? (a) making up a story (b) suggesting a video (c) spotting spam (d) reading number plates
- 35.True or false: “correct labels” is good for training a model. (a) False (b) True
- 36.📚 An AI chatbot names a book that does not exist. This is called… (a) a password (b) a summary (c) a backup (d) a hallucination
- 37.🤖 AI or a normal program: which one “never learns from data”? (a) AI (b) a normal program
- 38.⏩ In machine learning, which comes first: typing a new spoken word or the learned patterns? (a) typing a new spoken word (b) the learned patterns
- 39.📚 Good or bad for training a model: many varied examples? (a) good for training (b) bad for training
- 40.Which of these describes how a normal program works? (a) spots patterns in data (b) one set rule per case (c) improves with more data (d) gives a likely answer
Answer key
- spam
- use one group only
- face unlock on a phone
- False
- flagging a new email
- True
- False
- a text description
- clear, sharp examples
- False
- a torch
- unlocking with a face
- good for training
- never learns from data
- learn from data
- look in your textbook
- False
- trust the textbook
- True
- needs AI (learning)
- True
- spotting spam
- a microwave timer
- improves with more data
- only one kind of example
- False
- makes something new
- False
- good for training
- suggesting a video
- not AI
- to see if it works
- good for training
- making up a story
- True
- a hallucination
- a normal program
- the learned patterns
- good for training
- one set rule per case
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students