Specifically, he is developing multilevel regression models that are capable of learning the complex hierarchical structures inherent in education data and benchmarked with ML methods designed for hierarchical data to demonstrate their superior performance and interpretability.
The ultimate goal of the project is to provide educators and policymakers with an early warning system that can not only identify at-risk children but also classify their specific risk profiles.
In this project, Edward Kanuti Ngailo is working with Professor Frank Miller. The project is funded by SIDA.
