scholarly journals Students’ Satisfaction with e-Learning Systems During the COVID-19 Pandemic—An International Comparative Study

2021 ◽  
Author(s):  
Shahrokh Nikou ◽  
◽  
Seongcheol Kim
Keyword(s):  
University Students ◽  
Structural Equation ◽  
Course Design ◽  
Teaching Style ◽  
Learning Systems ◽  
Educational Institutions ◽  
Design Quality ◽  
Related Factors ◽  
E Learning ◽  
Students Satisfaction

t In response to the global COVID-19 situation, quarantine measures have been implemented at the educational institutions around the world. This paper aims to determine the antecedent factors predicting the university students’ satisfaction with e-learning systems during the COVID-19 situation. We used structural equation modelling (SEM) and evaluated a conceptual model on the basis of a sample of university students from Finland (n = 131) and South Korea (n = 114). The SEM results showed that the COVID-19 related factors, i.e., COVID19 awareness, perceived challenges during COVID-19 and the educational institutions’ preparedness indirectly influence the satisfaction with e-learning systems. Moreover, we found a statistically significant moderating effect of course design quality, and instructor’s teaching style between the COVID-19 related factors and the satisfaction with e-learning systems. The implications of these results for the management of e‐learning systems are discussed.

scholarly journals An analysis of students' perspectives on e-learning participation – the case of COVID-19 pandemic

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahrokh Nikou ◽  
Ilia Maslov
Keyword(s):  
Structural Equation ◽  
Ease Of Use ◽  
Learning Systems ◽  
Perceived Usefulness ◽  
Educational Institutions ◽  
Perceived Ease Of Use ◽  
Related Factors ◽  
Content Type ◽  
Intention To Participate ◽  
E Learning

PurposeDuring the COVID-19 pandemic, educational institutions were forced to shut down, causing massive disruption of the education system. This paper aims to determine the critical factors for the intention to participate in e-learning during COVID-19.Design/methodology/approachData were collected by surveying 131 university students and structural equation modelling technique using PLS-SEM was employed to analysis the data.FindingsThe results showed that the COVID-19 related factors such as perceived challenges and COVID-19 awareness not only directly impact students' intention but also such effects are mediated through perceived usefulness and perceived ease of use of e-learning systems. However, the results showed that the educational institution's preparedness does not directly impact the intention of students to participate in e-learning during COVID-19. The results also showed that the gender and length of the use of e-learning systems impact students' e-learning systems use.Originality/valueThese results demonstrated that, regardless of how well the educational institutions are prepared to promote the use of e-learning systems, other COVID-19-related challenges play a crucial role in forming the intention of students to participate in e-learning during the COVID-19 pandemic. Theoretical and practical implications are provided.

scholarly journals Understanding students’ satisfaction and continuance intention of e-learning: Application of expectation–confirmation model

2015 ◽  
Vol 7 (3) ◽  
pp. 157
Author(s):  
Forouzan Rezaeian Tiyar ◽  
Hooshang Khoshsima
Keyword(s):  
Language Learners ◽  
Learning Process ◽  
Peer Interaction ◽  
Course Design ◽  
Learning Systems ◽  
Survey Method ◽  
Continuance Intention ◽  
E Learning ◽  
Students Satisfaction ◽  
Expectation Confirmation

<p>The evolution of technologies leads to the great significance of e-learning in the domain of education. Recognition of the crucial factors which influence learners’ aims towards continued use of e-learning would guide teachers, learners and e-learning developers to increase e-learning use. To this end, the present study investigates the Expectation-Confirmation Model (ECM) factors of Post-Adoption Expectation (PAE) which is explored via using language learners’ post-adoption experiences in the use of e-learning systems. Learning process, tutor interaction, peer interaction, and course design are the four factors identified used for extending the perception of language learners’ experiences in e-learning. The survey method was used to empirically validate the suggested model (ECM) of the present study. A total sample of 120 Iranian university students participated in the study.</p><p>In order to investigate the proposed model, structural equation modelling employing Smart PLS 2.0 was run. The findings indicate that learners’ confirmation of using e-learning has a significant effect on the four aforementioned factors. Learning process and course design are the only two factors that have a significant effect on users’ satisfaction and continuance intention. On the other hand, the results showed that tutor interaction and peer interaction do not have a significant effect on predicting learners’ satisfaction and continuance intention of e-learning systems.</p><p> </p><p>Keywords: e-learning, students’ satisfaction, students’ continuance intention, expectation-confirmation model, post-adoption expectation</p>

E-Learning Service Delivery Quality

2013 ◽  
pp. 89-127 ◽  
Author(s):  
Ahmed Younis Alsabawy ◽  
Aileen Cater-Steel ◽  
Jeffrey Soar
Keyword(s):  
Service Delivery ◽  
User Satisfaction ◽  
Structural Equation ◽  
Critical Role ◽  
Learning Systems ◽  
Equation Modeling ◽  
Educational Institutions ◽  
E Learning ◽  
Electronic Channels

E-learning systems have received considerable attention from researchers, educational institutions, and organisations for their anticipated benefits. The objective of e-learning systems is to provide students with educational services via electronic channels. User dissatisfaction is considered the main issue facing universities in regards to e-learning systems. Service Delivery Quality (SDQ) can be deemed an essential concern for management and customers. This research investigates the role of SDQ on user satisfaction on two levels: the effect of SDQ on user satisfaction, and the effect of each sub-dimension of SDQ on user satisfaction. This paper reports on a study which surveyed 720 external students at an Australian university. The findings highlight the critical role of SDQ on user satisfaction. Based on the results of structural equation modeling and content analysis, a set of recommendations was formulated. The aim was to help improve service delivery quality, user satisfaction, and greater overall success of e-learning systems.

scholarly journals Students‟ Satisfaction of E-Learning using Decision Support Systems (DSS)

2019 ◽  
Vol 8 (4) ◽  
pp. 4640-4645
Keyword(s):  
University Students ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Developed Countries ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
E Learning ◽  
Acceptance Model ◽  
Students Satisfaction

recently, a rapidly increasing type of education that is mostly adopted by higher education in developed countries is known as E-learning. The aim of the research was to evaluating students’ satisfaction of e-Learning. In the current research, both the theory of technology acceptance model (TAM) and the method of employed structural equation modelling (SEM) with Smart PLS were used to examine the process of students' adoption. It has been found that the learning satisfaction was positively influenced by the perceived ease of use (PEOU), perceived usefulness (PU) and intention to use (IU) as witnessed among university students. Significant and positive perceptions towards e-learning and intend to practice it by university students in Malaysia have been observed by this research.

scholarly journals Understanding students’ satisfaction and continuance intention of e-learning: Application of expectation–confirmation model

2015 ◽  
Vol 7 (3) ◽  
pp. 157 ◽  
Author(s):  
Forouzan Rezaeian Tiyar ◽  
Hooshang Khoshsima
Keyword(s):  
Language Learners ◽  
Learning Process ◽  
Peer Interaction ◽  
Course Design ◽  
Learning Systems ◽  
Survey Method ◽  
Continuance Intention ◽  
E Learning ◽  
Students Satisfaction ◽  
Expectation Confirmation

The evolution of technologies leads to the great significance of e-learning in the domain of education. Recognition of the crucial factors which influence learners’ aims towards continued use of e-learning would guide teachers, learners and e-learning developers to increase e-learning use. To this end, the present study investigates the Expectation-Confirmation Model (ECM) factors of Post-Adoption Expectation (PAE) which is explored via using language learners’ post-adoption experiences in the use of e-learning systems. Learning process, tutor interaction, peer interaction, and course design are the four factors identified used for extending the perception of language learners’ experiences in e-learning. The survey method was used to empirically validate the suggested model (ECM) of the present study. A total sample of 120 Iranian university students participated in the study.In order to investigate the proposed model, structural equation modelling employing Smart PLS 2.0 was run. The findings indicate that learners’ confirmation of using e-learning has a significant effect on the four aforementioned factors. Learning process and course design are the only two factors that have a significant effect on users’ satisfaction and continuance intention. On the other hand, the results showed that tutor interaction and peer interaction do not have a significant effect on predicting learners’ satisfaction and continuance intention of e-learning systems. Keywords: e-learning, students’ satisfaction, students’ continuance intention, expectation-confirmation model, post-adoption expectation

scholarly journals Developing a Holistic Success Model for Sustainable E-Learning: A Structural Equation Modeling Approach

2021 ◽  
Vol 13 (16) ◽  
pp. 9453
Author(s):  
Ahmad Samed Al-Adwan ◽  
Nour Awni Albelbisi ◽  
Omar Hujran ◽  
Waleed Mugahed Al-Rahmi ◽  
Ali Alkhalifah
Keyword(s):  
Higher Education ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Learning Systems ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Success Model ◽  
System Use ◽  
E Learning ◽  
Students Satisfaction

In higher education learning, e-learning systems have become renowned tools worldwide. The evident importance of e-learning in higher education has resulted in a prenominal increase in the number of e-learning systems delivering various forms of services, especially when traditional education (face-to-face) was suddenly forced to move online due to the COVID-19 outbreak. Accordingly, assessing e-learning systems is pivotal in the interest of effective use and successful implementation. By relying on the related literature review, an extensive model is developed by integrating the information system success model (ISSM) and the technology acceptance model (TAM) to illustrate key factors that influence the success of e-learning systems. Based on the proposed model, theory-based hypotheses are tested through structural equation modeling employing empirical data gathered through a survey questionnaire of 537 students from three private universities in Jordan. The findings demonstrate that quality factors, including instructor, technical system, support service, educational systems, and course content quality, have a direct positive influence on students’ satisfaction, perceived usefulness, and system use. Moreover, self-regulated learning negatively affects students’ satisfaction, perceived usefulness, and system use. Students’ satisfaction, perceived usefulness, and system use are key predictors of their academic performance. These findings provide e-learning stakeholders with important implications that guarantee the effective, successful use of e-learning that positively affects students’ learning.

Students' satisfaction and continuance intention of the cloud-based e-learning system: roles of interactivity and course quality factors

2020 ◽  
Vol 62 (9) ◽  
pp. 1037-1059
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Course Design ◽  
Learning System ◽  
Quality Factors ◽  
Continuance Intention ◽  
Design Quality ◽  
Content Type ◽  
Content Quality ◽  
Course Content ◽  
E Learning ◽  
Students Satisfaction

PurposeThe purpose of this study is to propose a research model based on expectation-confirmation model (ECM) to examine whether interactivity and course quality factors (i.e. course content quality, course design quality) as antecedents to student beliefs can influence students' satisfaction and continuance intention of the cloud-based electronic learning (e-learning) system within the educational institution.Design/methodology/approachSample data were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 515 (85.8%) useable questionnaires were analyzed using structural equation modeling.FindingsFindings showed that students' perceptions of interactivity, course content quality and course design quality positively significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, which in turn directly or indirectly led to their continuance intention of the system. Thus, the results strongly supported the research model based on ECM via positioning key constructs as the drivers with all hypothesized links being significant.Originality/valueThis study identifies three factors (i.e. interactivity, course content quality, course design quality) as drivers from the learner perspective within the cloud-based e-learning environment, and links these factors to students' satisfaction and continuance intention of the cloud-based e-learning system based on ECM. It is particularly worth mentioning that the three drivers can serve as precursors for recognizing the determinants that are crucial to understand students' satisfaction and continuance intention of the cloud-based e-learning system. Hence, this study may provide new insights in nourishing the cloud-based e-learning continuance literature in the future.

scholarly journals The ABC method as a tool for blended learning course development at Bergen University Library

2021 ◽  
Author(s):  
Pål Steiner ◽  
Ingunn Rødland ◽  
Henry Langseth ◽  
Christian Højbjerg Hansen
Keyword(s):  
Blended Learning ◽  
Course Design ◽  
Original Method ◽  
Educational Institutions ◽  
Learning Tools ◽  
Planning And Design ◽  
Hands On ◽  
University College London ◽  
E Learning ◽  
Abc Method

Embarking on planning and design of new library courses, or just even redesigning them, might be challenging in an everyday busy schedule. Especially if you want to try out new digital applications or features that could give the training an edge towards students, often prejudiced to what they can expect from a traditional library course. Ideally you engage colleagues and even students and faculty members in such a process. But how can you allocate enough time and resources to reach such ambitions? The ABC method, developed at University College London, is an effective, engaging and creative approach. In only 90 minutes groups are able to work together hands-on to create a visual storyboard outlining the type and sequence of learning activities aligned with the course’s learning outcomes. Blended learning and co-creation are often encouraged in course design in many educational institutions these days. The ABC method encourage also library instructors to think about e-learning tools, methods for active learning and opportunities for co-creation. Library courses, in difference from regular courses at universities, if often taught as a “one-shot-session”, and they rarely include formal evaluations. We therefore felt the need to adapt the method to better suit these circumstances. We adjusted both agenda and material, but all ideas and principles follow the original method. Evaluation showed good feedback regarding the proportion of participants who intended to change their course design after attending the workshop. This session will present the basic principles of the ABC-method and our experiences working with this approach to blended course planning.

Differences of E-Learning Systems With the Focus on Moodle and Blackboard Systems

2021 ◽  
Vol 13 (1) ◽  
pp. 15-30
Author(s):  
Krešimir Buntak ◽  
Maja Mutavdžija ◽  
Matija Kovačić
Keyword(s):  
Literature Review ◽  
Education System ◽  
New Technologies ◽  
Virtual Learning Environment ◽  
Learning Systems ◽  
Educational Institutions ◽  
Blackboard Systems ◽  
Technological Concepts ◽  
E Learning

With the development of new technologies and their implementation in all areas of life, especially education, it is important to understand and accept all the new educational/technological concepts and their benefits. Through the concept of virtual learning environment, educational institutions can improve the quality of the learning process, reduce costs, but also improve communication between students and lecturers. The main objective of this paper is to present characteristics of two most used e-learning systems (Moodle and Blackboard) and provide results of the literature review on the differences of these two systems. Based on the results of literature review, a comparison between Moodle and Blackboard based on ISO 25010 framework is made. Through this secondary research, it was concluded that Moodle is the best solution for introducing a learning management system, but there are numerous opportunities for improving the education system at all levels.

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