PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION
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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Firenze University Press
2022-01-01
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| Series: | Italian Journal of Educational Technology |
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| Online Access: | https://ijet.itd.cnr.it/article/view/1245 |
| _version_ | 1797763295163187200 |
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| author | Nandita Gurjar Stephen Sivo |
| author_facet | Nandita Gurjar Stephen Sivo |
| author_sort | Nandita Gurjar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-12T19:39:33Z |
| format | Article |
| id | doaj.art-957ef1f8d79143e9a58f07eb9d3fa804 |
| institution | Directory Open Access Journal |
| issn | 2532-4632 2532-7720 |
| language | English |
| last_indexed | 2024-03-12T19:39:33Z |
| publishDate | 2022-01-01 |
| publisher | Firenze University Press |
| record_format | Article |
| series | Italian Journal of Educational Technology |
| spelling | doaj.art-957ef1f8d79143e9a58f07eb9d3fa8042023-08-02T03:56:30ZengFirenze University PressItalian Journal of Educational Technology2532-46322532-77202022-01-0110.17471/2499-4324/1245PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTIONNandita Gurjar0Stephen Sivo1University of Central Florida, Orlando, Florida, USUniversity of Central Florida, Orlando, Florida, USThis 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.https://ijet.itd.cnr.it/article/view/1245TwitterStructural Equation ModellingTechnology Acceptance ModelSocial NetworksPreservice TeachersEducational Technology |
| spellingShingle | Nandita Gurjar Stephen Sivo PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION Italian Journal of Educational Technology Structural Equation Modelling Technology Acceptance Model Social Networks Preservice Teachers Educational Technology |
| title | PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION |
| title_full | PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION |
| title_fullStr | PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION |
| title_full_unstemmed | PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION |
| title_short | PREDICTING AND EXPLAINING PRE-SERVICE TEACHERS’ SOCIAL NETWORKING TECHNOLOGY ADOPTION |
| title_sort | predicting and explaining pre service teachers social networking technology adoption |
| topic | Twitter Structural Equation Modelling Technology Acceptance Model Social Networks Preservice Teachers Educational Technology |
| url | https://ijet.itd.cnr.it/article/view/1245 |
| work_keys_str_mv | AT nanditagurjar predictingandexplainingpreserviceteacherssocialnetworkingtechnologyadoption AT stephensivo predictingandexplainingpreserviceteacherssocialnetworkingtechnologyadoption |