Using a Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model to Assess Radiologic Technology Educators' Intentions Toward Virtual Technology Use as a Result of the COVID-19 Pandemic.
A quantitative cross-sectional survey design was utilized to evaluate a combined model utilizing the theory of planned behavior and the technology acceptance model to investigate continuance intentions for virtual technology use (CITU) by United States radiologic science educators as a result of the...
| Publicado en: | Radiologic Science & Education Vol. 28; no. 1; pp. 3 - 17 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Association of Educators in Imaging & Radiologic Sciences (A.E.I.R.S.)
Mar2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=162404251&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 162404251 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10785450 8AVD jtl: Radiologic Science & Education issn: 10785450 maglogo: N pubinfo: dt: Mar2023 vid: 28 iid: 1 pid: 49856 pub: Association of Educators in Imaging & Radiologic Sciences (A.E.I.R.S.) place: Albuqueque, New Mexico artinfo: ui: 162404251 162404251 162404251 162404251 ppf: 3 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Using a Combined Model of the Theory of Planned Behavior and the Technology Acceptance Model to Assess Radiologic Technology Educators' Intentions Toward Virtual Technology Use as a Result of the COVID-19 Pandemic. aug: au: Ward, Taylor C. Skinner, Leane B. Wohleb, Elisha C. Springer, Chadwick A. affil: Assistant professor in the School of Radiologic Sciences at Weber State University in Ogden, Utah sug: subj: COVID-19 Pandemic Technology, Radiologic Methods Intention Educational Technology Utilization Models, Theoretical Human Male Female Adult Middle Age United States Cross Sectional Studies Quantitative Studies Technology Methods Descriptive Statistics Adult: 19-44 years Middle Aged: 45-64 years Male Female ab: A quantitative cross-sectional survey design was utilized to evaluate a combined model utilizing the theory of planned behavior and the technology acceptance model to investigate continuance intentions for virtual technology use (CITU) by United States radiologic science educators as a result of the COVID-19 pandemic. A total of 255 participants completed an online survey through Qualtrics. Results found that the overall regression model was statistically significant (F5, 230 = 59.167, p < .001) and explained about 56% of the variance in CITU (R² = .563, Adj. R² = .553). Attitude was the strongest predictor and mediated the effects of other predictors on CITU. Radiologic sciences educators with more positive attitudes toward using virtual technology, higher actual utilization, and more perceived usefulness were more likely to report higher intentions to continue technology use. The combined model was found to be an effective tool for measuring educators' CITU. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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