Big data and artificial intelligence are part of our daily lives, holding promise to enhance our everyday experience even while we critically evaluate their uses. Student data is increasingly a factor in helping students on their academic journey, and its possibilities are not limited to student success offices. Faculty, too, can responsibly use available student data to support student learning. In this session, we’ll peek under the hood to understand the model scoring that Baylor currently uses and explore how it informs student success work. Most importantly, you will learn how to find meaningful data about your students based on access you already have to steer every student you work with to success. Carroll Crowson (CASE) Jeffrey Olafsen (Physics) Jeff Strietzel (Educational Leadership) Meaghann Wheelis (Institutional Research) Tuesday, February 15, 2022 3:30-4:30pm