Enabling Insights into Student Success for Academic Advisors with Machine Learning

This session discusses how machine learning has been leveraged for academic advisors at Penn State University. This session discusses two approaches to leveraging institutional data: monitoring student engagement in online courses and predicting how well a student will do in a course. This session will include a demonstration of prototypes designed for early warning systems and discuss lessons learned.

Outcomes: Learn how models of student success are built with machine learning * Evaluate the practical implications of student engagement in academic advising * Consider scenarios of ethical use of predictive models in academic advising