Abstract
dc:description.abstract<p>The unified theory of user acceptance of technology, Motivation Orientation Scale – Faculty Version, and Individual Innovativeness Scale were used to predict faculty intent to teach online, to better understand what motivates faculty to teach online, and the relationship between faculty innovativeness and their intent to teach online. A sample of 348 self-selected full-time faculty at a large, public, comprehensive research university with integrated academic health center in the Southeast United States responded to an online survey. Results demonstrated that slightly more faculty than not reported a behavioral intent to teach online. Multiple regression analysis indicated that performance expectancy, effort expectancy, social influence, motivation orientation to teach online, motivation to teach face-to-face, sex, and level of innovation statistically and significantly predict behavioral intent to teach online. Stepwise regression indicated that motivation orientation to teach online, motivation to teach face-to-face, social influence, effort expectancy, and sex represented the optimal combination of constructs within this study sample to predict behavioral intent to teach online.</p>
Degree
thesis:*- Name thesis:degree_name
- Doctor of Education in Education Administration (Ed.D.)
- Level thesis:degree_level
- Dissertation (open access)
- Discipline thesis:degree_discipline
- Department of Leadership, Technology, and Human Development
- Year dc:date.available
- 2014
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Casdorph, Michael S
- Contributors dc:contributor
-
- Lucinda Chance
- Mohomodou Boncana
Subjects
dc:subject × 7Identifiers
dc:identifier.*- Repository record dc:identifier
- https://digitalcommons.georgiasouthern.edu/etd/1051
- OAI identifier oai:identifier
- oai:digitalcommons.georgiasouthern.edu:etd-2082