Transforming Gateway Math: Analyzing the Impact of Corequisite Models on Course Performance

• In Event: Virtual Poster Session
  In Virtual iPresentation Only: Division J - Section 2c: Assessing College Student Success and Impact Virtual Poster Session

Abstract

Drawing on data from first-time students enrolled in remedial or corequisite math between fall 2010 and fall 2023, this study examines the impact of the corequisite model on gateway math success. Using Regression Discontinuity Design, the study found gateway math success rates increased from 65.0% in 2010 to 90.5% in 2019. During the corequisite implementation, performance appeared to improve, with a peak success rate of 79.6% in fall 2023. However, the corequisite model did not outperform the redesigned math curriculum based on limited data. Multiple regression analyses revealed high school GPA, full-time status, age, race/ethnicity, and Pell status were significant predictors of gateway math performance. These findings provide insights into the effectiveness of corequisite models and inform student success efforts.

Authors

• John Crooker, University of Nevada - Las Vegas

• Qingmin Shi, University of Nevada - Las Vegas

• Christina Drum, University of Nevada - Las Vegas

• Ashley Guyer, University of Nevada - Las Vegas