The need for multidisciplinary education research: How racism shapes education

Racism can take many forms, some of them can be very obvious, others are more subtle.

Without a deep understanding of the different dynamics that can affect people of colour, and how these dynamics change based on context, history, geography, and other demographic attributes, it can be hard to understand how they can affect education, and specifically how they can affect the algorithms deployed in education.

In this talk, I will give an overview of the different types of racism, how they may interact with each other, and how that may translates in the context of educational data mining. Of course, we will go through an overview of how we can (hopefully) make EDM a fairer place by covering a subset of existing algorithmic mitigation techniques, as well as a framework to think about how racism may transpire in our pipelines.