TY - JOUR
T1 - Using community college prior academic performance to predict re-enrollment at a four-year online University
AU - Nadasen, Denise
AU - List, Alexandra
N1 - Publisher Copyright:
© 2016 Online Learning Consortium. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
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U2 - 10.24059/olj.v20i2.800
DO - 10.24059/olj.v20i2.800
M3 - Article
AN - SCOPUS:84975300037
SN - 2472-5749
VL - 20
JO - Online Learning Journal
JF - Online Learning Journal
IS - 2
ER -