2018
DOI: 10.1080/0144929x.2018.1437219
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RETRACTED ARTICLE: E-learning adoption of academicians: a proposal for an extended model

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Cited by 53 publications
(43 citation statements)
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References 59 publications
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“…UTAUT model states a direct influence of the behavioral intention towards the performance expectancy concerning the adoption of the technology. This is consistent with the earlier findings which supplement its use in the e-learning contexts [29], [31], [32], [34], [36], [37]. In correspondence to the theory, the study posits:…”
Section: Social Influencesupporting
confidence: 90%
See 1 more Smart Citation
“…UTAUT model states a direct influence of the behavioral intention towards the performance expectancy concerning the adoption of the technology. This is consistent with the earlier findings which supplement its use in the e-learning contexts [29], [31], [32], [34], [36], [37]. In correspondence to the theory, the study posits:…”
Section: Social Influencesupporting
confidence: 90%
“…UTAUT model proposes a direct effect of the behavioral intention on performance expectancy concerning the adoption of the technology. Additionally, several studies identified the effectiveness of this construct in instilling technology adoption for a user [29], [30] - [32], [34] - [37], particularly for MOOCs [1,19,20]. In line with the theory, the study suggests:…”
Section: Performance Expectancymentioning
confidence: 60%
“…With students and teachers quarantined, technology should be available to implement learning. Acceptance of e-learning may depend on several factors, and technological access has been long suggested to be a critical factor (Revythi & Tselios, 2019;Uğur & Turan, 2018; Valencia-Arias et al, 2019). For a programme to be prepared for e-learning activities, technology should be ubiquitous.…”
Section: Critical Reflections On E-learning Readinessmentioning
confidence: 99%
“…Similar results are seen in the students' and teachers' responses to their technological confidence, support, and training. These factors are critical for developing successful e-learning programmes and eventual acceptance of the end-users (Uğur & Turan, 2018;Revythi & Tselios, 2019;Valencia-Arias et al, 2019). These include considering the present basic computer skills, internet/online skills, software application, and e-learning training.…”
Section: Critical Reflections On E-learning Readinessmentioning
confidence: 99%
“…Although academic performance feedback and its effect on learning have been extensively researched in recent years (Belcadhi, 2016;Semley et al, 2016;Stegemann and Malan, 2016), students' learning methods have started to change. Specifically, computer and internet use in learning are increasingly being adopted (Uğur and Turan, 2018). Feedback on learning and academic progress, therefore, also needs to adapt to cater for the trends that are being followed by students.…”
Section: Introductionmentioning
confidence: 99%