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Adopting Web Conferencing in Online Teaching: A Perspective From Logistic Regression

Adopting Web Conferencing in Online Teaching: A Perspective From Logistic Regression

Yan Sun, Joanne Beriswill, Maresha E. Allen
Copyright: © 2022 |Volume: 20 |Issue: 1 |Pages: 18
ISSN: 1539-3100|EISSN: 1539-3119|EISBN13: 9781799893424|DOI: 10.4018/IJDET.296701
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MLA

Sun, Yan, et al. "Adopting Web Conferencing in Online Teaching: A Perspective From Logistic Regression." IJDET vol.20, no.1 2022: pp.1-18. http://doi.org/10.4018/IJDET.296701

APA

Sun, Y., Beriswill, J., & Allen, M. E. (2022). Adopting Web Conferencing in Online Teaching: A Perspective From Logistic Regression. International Journal of Distance Education Technologies (IJDET), 20(1), 1-18. http://doi.org/10.4018/IJDET.296701

Chicago

Sun, Yan, Joanne Beriswill, and Maresha E. Allen. "Adopting Web Conferencing in Online Teaching: A Perspective From Logistic Regression," International Journal of Distance Education Technologies (IJDET) 20, no.1: 1-18. http://doi.org/10.4018/IJDET.296701

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Abstract

This study represented dimensions from the Diffusion of Innovations theory and the Community of Inquiry model to explore the adoption of web-conferencing. It used logistic regression to model the likelihood of adopting web-conferencing in online teaching with data collected from 66 college online instructors. In the logistic regression analyses, measures of the instructors’ perception of the instructional benefits of web-conferencing, perception of web-conferencing as a tool for creating social presence and teaching presence, and perception of barriers of using web-conferencing in online instruction were the independent variables, and the binary dependent variable represented the instructors’ adoption or non-adoption of the web-conferencing innovation. The results of the full logistic regression model (with all three independent variables) and the reduced models (with one or two independent variables at a time) are reported and implications for promoting web-conferencing adoption and future research are discussed.