Predicting And Explaining Pre-Service Teachers’ Social Networking Technology Adoption

Authors

Nandita Gurjar
Stephen Sivo, University of Central Florida

Comments

First published in Italian Journal of Educational Technology (2022). DOI: 10.17471/2499-4324/1245

Document Type

Article

Publication Version

Published Version

Keywords

Twitter; Structural Equation Modelling; Technology Acceptance Model; Social Networks; Preservice Teachers;

Journal/Book/Conference Title

Italian Journal of Educational Technology

Abstract

This research study examined pre-service teachers’ (N=250) intentions to adopt Twitter for professional development. The study used the Technology Acceptance Model to test research hypotheses grounded in the literature. The data were collected with a survey questionnaire and analyzed with Structural Equation Modelling. Findings indicated that ease of use, subjective norms, and perceived connectedness explained the variability in intentions to use Twitter. Perceived mobility, mediated through perceived behavioral control, explained participant differences in the perceived ease of use. Implications for stakeholders include highlighting the role subjective norms and mobile applications play in facilitating the ease of use and connectedness because both variables appear to positively impact behavioral intentions to use Twitter for professional development. Supporting pre-service teachers with self-efficacy, resources, and positive social media subjective norms will positively influence Twitter adoption for cross-cultural collaboration and professional learning. Technology adoption mediates global collaboration among educators in heralding innovation and creativity.

Department

Department of Curriculum and Instruction

Original Publication Date

2022

Object Description

1 PDF File

DOI of published version

10.17471/2499-4324/1245

Repository

UNI ScholarWorks, Rod Library, University of Northern Iowa

Copyright

©2022 Nandita Gurjar and Stephen Sivo.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Language

en

File Format

application/pdf

Recommended Citation

Gurjar, Nandita and Sivo, Stephen, "Predicting And Explaining Pre-Service Teachers’ Social Networking Technology Adoption" (2022). Faculty Publications. 5211.
https://scholarworks.uni.edu/facpub/5211