While the current literature on algorithmic fairness has rapidly expanded over the past years,
it has yet to fully arrive in educational contexts, namely, learning analytics. In the present …

With a steady expansion of the fairness and explainability research in artificial intelligence
and machine learning, other overlapping areas, such as learning analytics, have similarly …

This thesis is focused on the preprocessing and challenges of a university student data set
and how different levels of data preprocessing affect the performance of a prediction model …