Using community college prior academic performance to predict re-enrollment at a four-year online University

Denise Nadasen, Alexandra List

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish (US)
JournalJournal of Asynchronous Learning Network
Volume20
Issue number2
StatePublished - Jun 1 2016

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Students
community
performance
student
semester
Logistics
logistics
regression
gender

All Science Journal Classification (ASJC) codes

  • Education
  • Computer Networks and Communications

Cite this

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