• 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