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Conference object . 2024
License: CC BY
Data sources: ZENODO
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Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Digital Transformation Readiness for Online Teaching and Learning in Higher Education: Academics Perspectives

Authors: Ramseook-Munhurrun, Prabha; Naidoo, Perunjodi; Padachi, Kesseven;

Digital Transformation Readiness for Online Teaching and Learning in Higher Education: Academics Perspectives

Abstract

The purpose of this research are to (a) examine the academics’ perceptions toward digital transformation readiness, more specifically academics’ preparedness to embrace a digital culture, (b) investigate if there are significant differences in these perceptions based on the academics’ demographic variables such as gender, age, academic status and academic discipline, and (c) investigate the factors that affect academics’ digital transformation readiness and their significant role in determining student engagement and intention to use technology. A structured questionnaire was designed in Google Forms covering the perceptions of the teachers regarding blended teaching and learning. The study collected 165 responses through online surveys from academics of a public university in Mauritius. The data was analyzed descriptively and inferentially to validate the model and perform regression analysis and ANOVA. The findings showed that only digital acceptance and digital competence influenced the intention to use digital technology amongst academics.

Keywords

higher education, Mauritius, academics, Digital transformation readiness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green