Glossary
Simple words for AI and computational thinking.
Algorithm
A clear list of steps to finish a task or solve a problem.
Example: The exact instructions to tie your shoes.
Activity: Robot route →Pattern
Something that repeats in a way you can predict.
Example: Red, blue, red, blue.
Activity: Pattern garden →Data
Information and facts we collect to learn from.
Example: Counting how many children like mangoes.
Activity: Data playground →Model
A set of rules a computer learns from training data.
Example: A system that can sort apples and bananas.
Activity: Teach a tiny model →Training
Showing a model examples so it can learn patterns.
Example: Showing a computer 100 pictures of dogs.
Activity: Teach a tiny model →Testing
Checking if a model works on new examples it hasn’t seen.
Example: Showing a new picture to see if it makes a mistake.
Activity: Teach a tiny model →Prediction
A calculated guess based on patterns or data.
Example: Guessing it will rain because dark clouds are coming.
Activity: AI detective →Fairness
Asking whether an AI works well for different kinds of people, not just some. Checking what the examples left out is one part of it. A small test cannot prove that a real tool is fair.
Example: Asking whether a voice tool was tested with many different accents.
Activity: What did we leave out? →