Predicting successful completion using student delay indicators in undergraduate self-paced online courses

Abstract

Self-paced online courses meet flexibility and learning needs of many students, but skepticism persists regarding the quality and the tendency for students to procrastinate in self-paced courses. Research is needed to understand procrastination and delay patterns of students in online self-paced courses to predict successful completion and retention. This article examines three measures of delay in undergraduate online self-paced courses: the days between registration date and first date of assignment submission (Days to Start), the average days between assignment submissions (Days between Assignments), and total days between registration and completion (Days to Complete). The average length of time between assignment submissions was found to be most useful to predict final letter grade and withdrawal. Students’ consistency and regular work on a self-paced class may be the best strategy for success. Institutions offering self-paced courses should implement strategies to teach students self-regulating behaviors.