Using cocurricular data to predict and enhance student success metrics

About the event

Virtual NASPA Session 2024

Speakers
Jessica Oyler, Vice President for Student Access and Success
Weber State University
Dr. Heather J. Chapman, Senior Director for Data & Analytics
Weber State University

Overview
Predictive analytics models can be used to assist colleges and universities in meeting their strategic goals. Often, the focus of such models is on student academic and demographic data, but some of the most impactful experiences are co-curricular. The presenters will focus on models that include the co-curricular aspects of the learning environment in predictive models and report on institutional changes enacted because of such models.

Learning Outcomes:
Identify a variety of cocurricular practices that have a positive impact on student success metrics. Evaluate the strengths and weaknesses of using cocurricular data in predictive models. Discuss models that could be explored on their own campuses.

Join via Zoom: https://wsu.zoom.us/j/93560457338