
Seminar 01A - Academic Analytics: Using Institutional Data to Improve Student Success
PLEASE NOTE: Separate registration and fee are required to attend this seminar.
Session Details
8:30 a.m. - 12:00 p.m.
Room W240D
Session Type: Morning Seminar
Speaker(s)
- Kimberly Arnold, Assessment and Evaluation Specialist, Purdue University
- John P. Campbell, Associate VP of the Rosen Center for Advanced Computing, Purdue University
Abstract
Students in large gateway courses have little understanding of their progress until after the first exam, by which time their chances of success can be greatly limited. Academic analytics provides an opportunity to project real-time monitoring of student progress, determine students at risk, and execute interventions to improve student success. This session will provide a practical guide for developing academic analytics projects on campus from the identification of pilot projects through early implementation. Specifically, this seminar will prepare participants to begin their own academic analytics projects, which include: (1) identifying key institutional data that might predict student success, (2) developing a model of student success, (3) gaining support from faculty and administrative units, (4) creating student interventions and leveraging existing student intervention resources, and (5) monitoring the progress of the academic analytics effort. The seminar will also discuss strategies for gaining institutional support.











