DocumentCode
3765426
Title
Factors Affecting Students´ Completion: A Study of an Online Master´s Program
Author
Jae-Young Park;Heng Luo;Won Ho Kim
Author_Institution
John A Dutton e-Educ. Inst., Pennsylvania State Univ.Pennsylvania, University Park, PA, USA
fYear
2015
Firstpage
275
Lastpage
278
Abstract
While there are many studies on student persistence in undergraduate programs offered in traditional classroom settings, there is a lack of empirical research investigating the factors affecting the completion of online advanced degree programs. In order to address such research need, this study collects student data from an online GIS Master´s program and employs logistic regression to assess a set of predictors in predicting whether or not a student completed the program. Instead of demographic and entry-level characteristics, students´ academic performance in the present program such as current GPA, credits taken, and stop-out years is found to have significant predictive power of students´ completion of the online Master´s program.
Keywords
"Education","Predictive models","Logistics","Databases","Computational modeling","Buildings","Probability"
Publisher
ieee
Conference_Titel
Educational Innovation through Technology (EITT), 2015 International Conference of
Print_ISBN
978-1-4673-8037-9
Type
conf
DOI
10.1109/EITT.2015.33
Filename
7446192
Link To Document