2017
DOI: 10.1080/0144929x.2017.1307450
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Applying Channel Expansion and Self-Determination Theory in predicting use behaviour of cloud-based VLE

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Cited by 53 publications
(30 citation statements)
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References 74 publications
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“…In mobile-based cloud computing, students have ubiquitous access to learning resources, they can experience authentic learning anytime and anywhere, and they can share learning resources with peers participating in collaborative problem-solving activities or peer-assessments. Mobile-based cloud computing can potentially have strong implications on learner autonomy (through ubiquity and seamlessness), competence (through situated and authentic learning), and relatedness (through communication and resource sharing) [63].…”
Section: Layer 3: Mobile Technologiesmentioning
confidence: 99%
“…In mobile-based cloud computing, students have ubiquitous access to learning resources, they can experience authentic learning anytime and anywhere, and they can share learning resources with peers participating in collaborative problem-solving activities or peer-assessments. Mobile-based cloud computing can potentially have strong implications on learner autonomy (through ubiquity and seamlessness), competence (through situated and authentic learning), and relatedness (through communication and resource sharing) [63].…”
Section: Layer 3: Mobile Technologiesmentioning
confidence: 99%
“…Construct reliability refers to the stability and consistency of the measurement model's result and is gauged by examining Cronbach's alpha, composite reliability (CR), or rho_ A . A reliability index exceeding 0.70 is assumed as highly reliable (Hew and Kadir, 2017a; Leong et al , 2020; Ooi et al , 2012, 2018) while an index between 0.35 and 0.70 indicates medium reliability (Hew and Kadir, 2017b) and an index of less than 0.35 denotes low construct reliability (Zhao et al , 2018). Table 2 shows that the mean reliability index for all independent variables falls within 0.814–0.941.…”
Section: Resultsmentioning
confidence: 99%
“…To assess these characteristics of data, we first obtained latent variable scores for our research constructs. The results of onesample Kolmogorov-Smirnov test indicate that all research constructs are not normally distributed because all p-values are less than 0.05 (Hew and Kadir, 2017). However, given that we have employed PLS-based SEM as our data analysis approach for hypothesis testing, the non-normality of data is not an issue (Gefen et al, 2011).…”
Section: Accurately or Accidentally?mentioning
confidence: 98%
“…All other relationships between research constructs proposed in the research model were found to be linear. Finally, we develop the scatter plot of the standardized regression residual to examine the issue of homoscedasticity (Hew and Kadir, 2017). As shown in Figure 2, no issue of homoscedasticity was found.…”
Section: Accurately or Accidentally?mentioning
confidence: 99%