Meta-modeling is when we create a model that describes other models. Let's imagine that models are like toys that we use to understand things.
For example, if we want to understand how a forest works, we can make a model of a forest by building fake trees and animals out of clay. This model can help us understand how the real forest works.
But what if we want to understand how models themselves work? That's where meta-modeling comes in. We can create a special kind of model that describes other models.
So, imagine we have a toy forest model made from clay. A meta-model of this forest model might include information about the types of trees and animals in the model, how they are connected to each other, and how they interact. This meta-model helps us understand how the forest model is put together and what we can learn from it.
In other words, meta-modeling is like creating a map or an instruction manual for a model, so that we can better understand how it works and what we can do with it.