{"title":"Adopting Web Conferencing in Online Teaching: A Perspective From Logistic Regression","authors":"Yangzi Sun, J. Beriswill, M. Allen","doi":"10.4018/ijdet.296701","DOIUrl":null,"url":null,"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.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Distance Educ. Technol.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijdet.296701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.