Title page for ETD etd-041999-174015


Type of Document Dissertation
Author Giles, Inez Marie
Author's Email Address igiles@polaris.umuc.edu
URN etd-041999-174015
Title An Examination of Dropout in the Online, Computer-conferenced Classroom
Degree PhD
Department Human Development
Advisory Committee
Advisor Name Title
Boucouvalas, Marcie Committee Chair
Cookson, Peter S. Committee Member
Fagan, Ruthann Committee Member
Lichtman, Marilyn V. Committee Member
Stubblefield, Harold W. Committee Member
Keywords
  • computer conferenced
  • online classroom
  • distance education
Date of Defense 1999-03-03
Availability unrestricted
Abstract
Three questions guided this research study: a) Is Goal Accomplishment Style, as measured by Atman's Goal Orientation Index (GOI), related to persistence and dropout in an online, computer-conferenced class? b) Is there a relationship between other selected variables (Demographic, Personal, Institutional, and Participative) and student persistence or dropout in the online, computer-conferenced environment? And, c) Can a relationship between goal accomplishment style and the other selected student variables be identified and related to persistence and dropout in an online computer-conferenced class? The data sources for this study were students registered in twenty online, computer-conferenced courses at a mid-sized university specializing in delivering courses, both in the traditional face-to-face mode and at a distance, to working adults.

Using logistic regression, this study investigated the relationship among twenty-five selected independent variables in an attempt to better understand the variables and their influence on the dichotomous dependent variable, persistence/dropout in the online classroom. The independent variables were culled from traditional classroom dropout research and adapted for use in the online environment. In addition, variables specific to the online environment were developed. The purpose of the logistic regression was to identify the most parsimonious set of variables predicting student persistence and dropout.

At the end of the semester, qualitative interviews were conducted with six dropout students. The interviews were conducted in an attempt to add depth to the depth provided by the quantitative results. During the interviews the students were asked specifically about their perceptions of interactivity and collaboration in the online classroom. Using both qualitative and quantitative analyses, a more complete picture of why students participate in or dropout of online, computer-conferenced classes was developed.

Three variables were identified as significant predictors of persistence/dropout, predicting persistence correctly between 98 to 100 percent of the cases. These variables included whether or not a student would recommend another online class, whether or not the student submitted assignments in a timely manner, and Acting, one of the three categories of Atman's Goal Orientation Index. Dropouts, however, proved to be more difficult to predict. (The models predictive strength regarding dropouts ranged from only to 0% to 45%.)

The qualitative interviews identified the fact that the dropout students were really hybrid in that they appeared as dropouts on the institution's master list but who were persisters in other classes. Four of the six "dropout" students interviewed were taking two courses during the semester. During the interviews, the students said they found it difficult to balance the requirements of family, home, work and school while taking two classes, especially during the shortened summer semester.

Almost all (95 per cent) of the study participants indicated they would be taking online courses in the future. Enrollments in online courses at the institution are increasing dramatically. Institutions must begin to examine the true nature and definition of dropouts, especially with respect to adult working students in the online environment.

Files
  Filename       Size       Approximate Download Time (Hours:Minutes:Seconds) 
 
 28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access 
  abstract.pdf 6.09 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  acknowledgment.pdf 5.02 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_a.pdf 44.39 Kb 00:00:12 00:00:06 00:00:05 00:00:02 < 00:00:01
  appdx_b.pdf 5.62 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_c.pdf 3.76 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_d.pdf 4.62 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_e.pdf 7.39 Kb 00:00:02 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_f.pdf 4.56 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_g.pdf 5.22 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_h.pdf 4.10 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_i.pdf 12.16 Kb 00:00:03 00:00:01 00:00:01 < 00:00:01 < 00:00:01
  appdx_j.pdf 5.28 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  appdx_k.pdf 4.87 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  bib.pdf 33.66 Kb 00:00:09 00:00:04 00:00:04 00:00:02 < 00:00:01
  chap_1.pdf 38.40 Kb 00:00:10 00:00:05 00:00:04 00:00:02 < 00:00:01
  chap_2.pdf 62.78 Kb 00:00:17 00:00:08 00:00:07 00:00:03 < 00:00:01
  chap_3.pdf 38.69 Kb 00:00:10 00:00:05 00:00:04 00:00:02 < 00:00:01
  chap_4.pdf 60.84 Kb 00:00:16 00:00:08 00:00:07 00:00:03 < 00:00:01
  chap_5.pdf 45.47 Kb 00:00:12 00:00:06 00:00:05 00:00:02 < 00:00:01
  resume.pdf 15.31 Kb 00:00:04 00:00:02 00:00:01 < 00:00:01 < 00:00:01
  title.pdf 3.88 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01
  toc.pdf 6.97 Kb 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01 < 00:00:01

Browse All Available ETDs by ( Author | Department )

dla home
etds imagebase journals news ereserve special collections
virgnia tech home contact dla university libraries

If you have questions or technical problems, please Contact DLA.