Community colleges have seen large increases in students enrolling in online courses nationally. This trend does not appear to be slowing down, in-fact, the number of students enrolling in online courses is increasing. A number of these first-generation students come from disadvantaged backgrounds. This study attempted to isolate variables that can best predict a community college student's chance of successful completion in the online environment.
Ten variables were studied at one community college in Missouri (MOCC) during academic years 2010-2012. The variables were; College division, age, gender, academic semester, academic level, prior remediation, prior online course, grade point average, financial assistance, credit hours enrolled. The study used archived data with 9,540 individual cases. A chi-square analysis was used on the dichotomous and categorical variables and continuous variables were analyzed using an independent t-test. Once significance had been established the variables were analyzed again using a forced entry logistic regression to determine the statistical probability of the variables. All variables except prior remediation showed significance using the three analysis methods. The predictive abilities of logistic regression showed that students with a GPA of 3.0 or higher, enrolled in a Career and Technology field of study, male, receiving financial aid, enrolled in 10.5 credit hours in the summer and an age of 30 were the most likely to successfully complete online courses at MOCC.
|School:||University of Missouri - Columbia|
|School Location:||United States -- Missouri|
|Source:||DAI-A 78/03(E), Dissertation Abstracts International|
|Subjects:||Educational leadership, Higher education, Environmental engineering|
|Keywords:||Community college, Distance education, Online learning, Retention rates|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be