2010-2016 Archived Posters
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Description
Instructional technologies can be effective tools to foster student engagement, but university faculty may be reluctant to integrate innovative and evidencebased modern learning technologies into instruction. It is important to identify the factors that influence faculty adoption of instructional technologies in the teaching and learning process. Based on Rogers’ diffusion of innovation theory, this quantitative, nonexperimental, one-shot survey determined what attributes of innovation (relative advantage, compatibility, complexity, trialability, and observability) predict the probability of faculty adopting the audience response system (ARS) into instruction. The sample for the study consisted of 201 faculty who have current teaching appointments at a university in the southeastern United States. Binary logistic regression analysis was used to determine the attributes of innovation that predict the probability of faculty adopting the ARS into instruction. The data indicated that the attributes of compatibility and trialability significantly predicted
Publication Date
2016
City
National Harbor, MD
Keywords
Research Symposium
Disciplines
Education | Higher Education
