You are here:

Using Community College Prior Academic Performance to Predict Re-Enrollment at a Four-Year Online University
ARTICLE

,

Journal of Asynchronous Learning Networks Volume 20, Number 2, ISSN 1939-5256

Abstract

Students' re-enrollment in the subsequent semester after their first semester at a four-year institution is a strong predictor of retention and graduation. This is especially true for students who transfer from a community college to a four-year institution because of the many external or non-academic factors influencing a student's decision to re-enroll. This research study examines student learner characteristics and course-taking behaviors at the community college and first-term GPA at a four-year institution to predict the likelihood of re-enrollment for 8,200 students from two community colleges who transferred to an online, public, four-year institution. The logistic regression models showed that gender, age, and first-term GPA at the four-year institution were significant predictors of re-enrollment. These findings contribute to the growing literature on transfer students and may provide researchers and practitioners a greater understanding of how community college factors influence the progression and success for transfer students at four-year institutions.

Citation

Nadasen, D. & List, A. (2016). Using Community College Prior Academic Performance to Predict Re-Enrollment at a Four-Year Online University. Journal of Asynchronous Learning Networks, 20(2), 120-133. Retrieved July 23, 2019 from .

This record was imported from ERIC on January 10, 2019. [Original Record]

ERIC is sponsored by the Institute of Education Sciences (IES) of the U.S. Department of Education.

Copyright for this record is held by the content creator. For more details see ERIC's copyright policy.

Keywords