Abstract
This study focuses on the analysis of certain performance predictors for calculus I. We collected data from 717 students from 2013 through 2018 at a southeastern university in the United States to explore any correlation between course times (particularly very early versus the rest) and student performance in this specific course, along with a handful of other variables. This represented all calculus I students over this time period. A two-proportion test confirmed that time was a significant variable in performance. We then used regression to determine similar impacts of gender, major, instructor, and term on student performance. Initial findings portrayed statistical differences between terms and course times; other findings included the significance of major and instructor in different contexts. Interaction effects were used with time to complete our analysis of its impact, and controls were later used accordingly. We also display appropriate models for comparing categories. We conclude with some basic assertions and argue some departmental recommendations on how to use these findings in undergraduate mathematics education.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Electronic Journal of Mathematics Education
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
