# Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage
## 4 Analysis and Findings  
The data were analyzed with the use of structural equation modelling for the proposed conceptual model of service quality of E-Learning. The proposed model is designed and presented in Figure 2 with the use of SmartPLS (v. 3.3.2). The results of the demographic section of the participants are described in Table 1. The results of the demographic profile state that more than half (62.4%) of respondents are female. The highest percentage (37.1%) of participants belong to the age group of 21-28 years, whereas the lowest percentage of (15.2%) respondents belong to the age group of above 25 years. In terms of the E-Learning experience, more than half (56.1%) of the respondents used E-Learning services for less than one year while approximately five per cent (5.3%) respondents used E-Learning services for more than five years. Types of E-Learning are explained in five categories depending on the weightage of E-Learning and traditional learning. Basics is the first among five, which has only 10% of the weightage of  
Figure 2: Conceptual model for E-Learning Service Quality. assessment for course design or description, assessment criteria, contact hours, discussion, announcements, and forum. Blended-1 is a mixture of 30% online teaching and 70% face-to-face classroom teaching whereas blended-2 is a mixture of 50% online teaching and 50% face-to-face teaching in the classroom. Blended-3 is a mixture of 70% online teaching and 30% face-to-face teaching in the classroom whereas full E-Learning includes 100% online teaching. Under types of E-Learning users, a maximum (35%) number of respondents belong to blended-1 courses followed by those (28.3%) from basics courses, (27%) full E-Learning courses, (5.3%) blended-3 courses and (4.4%) blended-2 courses. The area of study is explained in three categories as Medical and Health Science which includes medicine, dentistry, pharmacy, nursing, physical therapy, laboratory science, radiology science and health administration. Engineering and Computer Science includes all branches of engineering, computer science and information systems. Humanities and Social Sciences includes language and translation, Islamic studies, and studies from the college of business administration. Most of the respondents (43.2%) belong to Engineering and Computer Science followed by (30.2%) those from Medical and Health Science whereas the lowest (26.6%) number of respondents belong to Humanities and Social Sciences. In terms of E-Learning usage, 38.6% of respondents spent 1-2 h daily for E-Learning, 22.6% spent 3-4 h, 21.9% spent more than 4 h and 16.9% spent less than one hour. To check the reliability of the proposed model [PERSON]'s alpha was used. Composite reliability was applied to measure internal consistency, while indicator reliability was tested using outer loadings. To ensure validity, average variance extraction and the Heterotrait-Monotrait relationship were used. Several studies suggested to [36] retain the indicators if the outer loading (OL) exceeds 0.70. The relationship needs to be investigated using average variance extracted and composite reliability if the outer loading ranges from 0.40 to 0.70. If AVE and CR meet the inclusion criteria, the indicators are kept; otherwise, they are excluded from further consideration. Apart from one factor of actual system use (ASU1-0.691), factor loading is greater than 0.70 in Table 2. However, the CR (0.925) and AVE (0.712) are higher than the required