Date of Award
2024
Document Type
Dissertation
Degree Name
Doctor of Philosophy in Education (PhD)
Department
Education
First Advisor/Committee Member
Dr. David Wicks, EdD
Second Advisor/Committee Member
Dr. David Denton, EdD
Third Advisor/Committee Member
Dr. Robin Henrikson, PhD
Keywords
COVID-19 Pandemic, Higher Education Institutions, Technology Acceptance Model, Canvas Learning Management System, Blended Learning
Abstract
The abrupt transition to emergency remote teaching during the COVID-19 pandemic offered minimal time to prepare, resulting in faculty reliance on prior pedagogical practices in the shift to an online instructional environment. Although the pandemic altered the learning environment in the short-term, it also offered a glimpse of how higher education institutions (HEIs) could transform their learning environments in the long-term. Though a body of literature exists on factors that influence technology acceptance, a limited number of studies have explored personality traits, teaching styles, and generational affiliation. An adapted Technology Acceptance Model considered these variables as antecedents to perceptions, attitudes, and behavioral intentions towards technology acceptance. A triangulation mixed methods design was employed to explore influences of technology acceptance among 62 professors. The results found small, positive, significant correlations between two personality traits and technology acceptance constructs, and small to moderate, positive, significant correlations between four teaching styles and technology acceptance constructs. No significant differences between generational groups and technology acceptance were found. Findings from the qualitative data analyses resulted in varying levels of convergence with the quantitative data analyses. This inquiry should be important to HEI administrators as they consider the significance of technology acceptance on post-pandemic policies surrounding academic program delivery models, increased demand for blended learning, and preparedness for future emergency remote instruction.
Recommended Citation
Freeman, Joey K., "Influences of Professors' Personality Traits, Teaching Styles, and Generational Affiliation on Technology Acceptance: A Mixed-Methods Exploration of Blended Learning Readiness" (2024). Education Dissertations. 84.
https://digitalcommons.spu.edu/soe_etd/84
Copyright Status
http://rightsstatements.org/vocab/InC/1.0/