Professor of Mathematics Columbus State University Columbus, Georgia, United States
Session Abstract: As more institutions adopt test-optional admissions policies, the challenge of accurately placing students into appropriate math courses becomes increasingly important. Columbus State University analyzed the effectiveness of different math placement methods—including high school GPA, standardized test scores, and placement exams—on predicting student success, defined as earning a grade of C or better in core math classes. This session will share findings on success rates across placement approaches, explore equity implications, and discuss strategies for aligning placement policies with test-optional admissions practices. Participants will gain practical insights into using institutional data to improve math placement accuracy and support student success.
Keywords: Test-Optional Admissions, Math Placement, Data Analysis
