“…After delivering the course, appropriate feedback should be taken by the instructors to plan future courses. It also helps to make the future strategies (Tawafak et al, 2019 ). There must be a proper feedback system for improvement because feedback is the course content’s real image.…”
The aim of the study is to identify the factors affecting students’ satisfaction and performance regarding online classes during the pandemic period of COVID–19 and to establish the relationship between these variables. The study is quantitative in nature, and the data were collected from 544 respondents through online survey who were studying the business management (B.B.A or M.B.A) or hotel management courses in Indian universities. Structural equation modeling was used to analyze the proposed hypotheses. The results show that four independent factors used in the study viz. quality of instructor, course design, prompt feedback, and expectation of students positively impact students’ satisfaction and further student’s satisfaction positively impact students’ performance. For educational management, these four factors are essential to have a high level of satisfaction and performance for online courses. This study is being conducted during the epidemic period of COVID- 19 to check the effect of online teaching on students’ performance.
“…After delivering the course, appropriate feedback should be taken by the instructors to plan future courses. It also helps to make the future strategies (Tawafak et al, 2019 ). There must be a proper feedback system for improvement because feedback is the course content’s real image.…”
The aim of the study is to identify the factors affecting students’ satisfaction and performance regarding online classes during the pandemic period of COVID–19 and to establish the relationship between these variables. The study is quantitative in nature, and the data were collected from 544 respondents through online survey who were studying the business management (B.B.A or M.B.A) or hotel management courses in Indian universities. Structural equation modeling was used to analyze the proposed hypotheses. The results show that four independent factors used in the study viz. quality of instructor, course design, prompt feedback, and expectation of students positively impact students’ satisfaction and further student’s satisfaction positively impact students’ performance. For educational management, these four factors are essential to have a high level of satisfaction and performance for online courses. This study is being conducted during the epidemic period of COVID- 19 to check the effect of online teaching on students’ performance.
“…The model used five different hypotheses, and four of them are significantly positive. The results tested through PLS-SEM software, were Alpha Cronbach's, CR and AVE are evaluated then checked with the software limitations [8,10,20,25,44].…”
Section: Literature Reviewmentioning
confidence: 99%
“…This project produces a comprehensive literature review to link the use of technology enhanced learning used in e-learning with ITG mechanisms such as structure, process, and direct actions. The purpose of this research is to consider the importance of the attributes, and the factors consequential from the academic aspect such as teaching, assessment and management and focus on critical apprehensions [26,10,15]. At the end, it gives verity to the type of answer, and the ways of implementation depends on the student interest and knowledge skills.…”
Section: It Governance Structurementioning
confidence: 99%
“…The advancement of using updated computer technologies increases the student learning outcomes and academic performance. It also allows students to have more self-control over their own knowledge and learning skills to achieve the expected learning goals [10]. The overall use of IT governance could illustrate the level of satisfaction that students may reflect over their grades and learning skills freely [11,9,39].…”
This paper produces a comprehensive literature review to evaluate the impact of technology development with IT governance mechanism for enhancing academic performance. This paper includes structure, process, and direct actions of reviewed papers related to IT governance. The aim is to analysis and review the type of Technology Enhanced Learning mostly used in educational field to enhance the academic performance connected to IT Governance of e-learning use. The method proposed here should explains the ideas and the quality assurance standards to enhance the academic performance with approval of IT governance. These studies include any special identifications or criteria for e-learning method and student academic performance. The results of this literature review reveal the side has led to new documentation ways, that include written learning outcomes, assessment plans, reports on results and improvement plans.
“…However, those studies lacked a theoretical base. There are different studies pointed to use a variety of standard models as TAM, ECT to validate a combined model for e-learning system [8,20,21,26]. On the other hand, still, these studies used limited elements of critical factors.…”
<p>E-learning systems installed in educational institutions have increased the efficiency of scholarly processes over the years. E-learning, however, has faced many factors affecting the continuous intention of teachers and students to use e-learning, such as student satisfaction, productivity, and academic success. Therefore to improve academic success, there is a need for institutions to enhance their e-learning programs. Thus the primary objective of this thesis is to construct a composite. This research focuses on the advancement of e-learning to boost students' continuous trying to use e-learning to increase students' level of understanding and academic performance. Data were collected using questionnaires returned to determine their e-learning feedback by 295 undergraduates from four universities in Oman, after which (PLS-SEM) used e-learning to assess their ongoing trial of using e-learning. The facts demonstrate that the variables are essential for the continuing decision to use e-learning.</p>
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