General satisfaction of students in 100% online courses at a university in the southwest region
Byungmun Ahn, University of North Texas, United States
Society for Information Technology & Teacher Education International Conference, in New Orleans, Louisiana, United States ISBN 978-1-939797-02-5 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
The purpose of this study was to examine whether there are significant relationships between the general satisfaction of students and learner-content interaction, learner-instructor interaction, learner-learner interaction, and learner-technology interaction in 100% online courses. Multiple regression analysis was used to examine the relationship between the four independent variables and the dependent variable. The two variables of learner-content and learner-instructor interaction play a significant role in predicting online satisfaction. Minimally, the variable learner-technology can predict online satisfaction and is an important construct that must be considered when offering online courses. Results of this study provide help in establishing a valid and reliable survey instrument and in developing an online best learning environment, as well as recommendations for institutions offering online learning or considering the development of online learning courses.
Ahn, B. (2013). General satisfaction of students in 100% online courses at a university in the southwest region. In R. McBride & M. Searson (Eds.), Proceedings of SITE 2013--Society for Information Technology & Teacher Education International Conference (pp. 143-152). New Orleans, Louisiana, United States: Association for the Advancement of Computing in Education (AACE).