Student Academic Risk Classification Using Machine Learning: A Comparative Analysis of Predictive Models
There are systems in place to identify at-risk students in educational facilities, however early identification allows for more effective support to be allocated. This research presents a framework to identify students at risk in a tertiary institution using contextual, behavioral and academic data. The framework uses...