In the wake of COVID-19, demand for student success analytics has risen significantly, but there is no easy button to finding the through line from information to action. Data and predictive analytics can only foretell so much about which students are likeliest to stumble and why, because human behavior is complex and unpredictable. Even before COVID-19, many institutions were investing in new approaches to aid students, including professional academic advising, expanded career services, and innovations in teaching and learning. What is often overlooked, but equally important, is the impact of financial aid variables and unmet need on student success.
Darren Catalano will share his thoughts on the data landscape at institutions, as well as the most important variables critical to understanding student success. With the goal of an institution being able to use data from across campus to better understand students and how to best support their success, attendees will learn how to begin this complicated and critical work at their own institutions.