# Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage
###### Abstract  
E-Learning through a cloud-based learning management system, with its various added advantageous features, is a widely used pedagogy at educational institutions in general and more particularly during and post Covid-19 period. Successful adoption and implementation of cloud E-Learning seems difficult without significant service quality. Aims: This study aims to identify the determinant of cloud E-Learning service quality. Methodology: A theoretical model was proposed to gauge the cloud E-Learning service quality by extensive literature search. The most important factors for cloud E-Learning service quality were screened. Instruments for each factor were defined properly, and its content validity was checked with the help of Group Decision Makers (GDMs). Empirical testing was used to validate the proposed theoretical model, the self-structured closed-ended questionnaire was used to conduct an online survey. Findings: Internal consistency of the proposed model was checked with reliability and composite reliability and found appropriate \(\alpha\)\(\geq\) 0.70 and CR \(\geq\) 0.70. Indicator Reliability was matched with the help of Outer Loading and found deemed fit OL \(\geq\) 0.70. To establish Convergent Validity Average Variance Extracted, Factor Loading and Composite Reliability were used and found deemed suitable with AVE \(\geq\) 0.50. The HTMT and Cornell-Lacker tests were applied to assess discriminant validity and found appropriate (HTMT \(\leq\) 0.85). Finally, the Variance Inflation Factor was used to detect multicollinearity if any and found internal and external VIF \(<\) 3. Conclusions: Theoretical model for cloud E-Learning service quality was proposed. Information Quality, Reliability, Perceived ease of use and Social Influence were considered as explanatory variables whereas actual system usage was the dependent variable. Empirical testing on all parameters stated that the proposed model was deemed fit in evaluating cloud E-Learning service quality. cloud E-Learning system; cloud E-Learning education; cloud E-Learning services; quality of cloud E-Learning services; active system usage +
Footnote †: journal: Applied Sci. location and helpful in teaching and learning with new digital form [1]. The availability and popularity of access to the World Wide Web and the presence of different internet tools such as highly configurable computers, laptops, and smartphones help E-Learning in its widespread growth [6]. Students can make their custom-made way to learn with the help of E-Learning. New IT technologies and applications are coming into the market, which also help in the effective implementation of the E-Learning System, and it is reaching the masses [7]. It is noted that the E-Learning system is practised and massively adopted in many developed and developing countries for enhancing comfort in teaching-learning with the help of the Learning Management System (LMS). In the UK, around 95% of higher education institutes are using the support of LMSs during their educational programs [8]. Besides its advantages, complete and effective implementation of E-Learning remains to be accomplished [9]. If E-Learning is effectively applied in educational institutions, we can notice its many potential benefits in teaching and learning. In past studies, many researchers [10,11] studied to identify crucial critical success factors, and they also gave attention to study the success factors for effective E-Learning systems [12]. Some researchers studied direct relationships of different quality factors and usage and satisfaction of the E-Learning system by using the classic technology acceptance models and service quality factors [13, 14, 15, 16] to maximize the effectiveness of the E-Learning system. Service quality is used to measure the quality of different management practices and culture for the benefit of the customers of the organization.