Enabling Insights into Student Success for Academic Advisors with Machine Learning
Enabling Insights into Student Success for Academic Advisors with Machine Learning
On Demand
Session Type:
Breakout Session
Delivery Format:
On-Demand
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
Presenters
Ben Hellar
Manager, Data Empowered Learning, The Pennsylvania State University