scispace - formally typeset
Open accessJournal ArticleDOI: 10.3390/SU13052653

E-learning services to achieve sustainable learning and academic performance: An empirical study

02 Mar 2021-Sustainability (MDPI AG)-Vol. 13, Iss: 5, pp 2653
Abstract: E-Learning has proven to be the only resort as a replacement of traditional face-to-face learning methods in the current global lockdown due to COVID-19 pandemic. Academic institutions across the globe have invested heavily into E-Learning and the majority of the courses offered in traditional classroom mode have been converted into E-Learning mode. The success of E-Learning initiatives needs to be ensured to make it a sustainable mode of learning. The objective of the current study is to propose a holistic E-Learning service framework to ensure effective delivery and use of E-Learning Services that contributes to sustainable learning and academic performance. Based on an extensive literature review, a proposed theoretical model has been developed and tested empirically. The model identifies a broad range of success determinants and relates them to different success measures, including learning and academic performance. The proposed model was validated with the response from 397 respondents involved with an E-Learning system in the top five public universities in the southern region of Saudi Arabia through the Partial Least Squares regression technique using SmartPLS software. Five main factors (Learner’s Quality, Instructor’s Quality, Information’s Quality, System’s Quality and Institutional Quality) were identified as a determinant of E-Learning service performance which together explains 48.7% of the variance of perceived usefulness of ELS, 71.2% of the variance of use of the E-Learning system. Perceived usefulness of ELS and use of ELS together explain 70.6% of learning and academic performance of students. Hence the framework will help achieve the sustainable and successful adoption of E-Learning services.

... read more

Citations
  More

10 results found


Open accessDOI: 10.22034/IJSC.2021.303934.1054
Yahya Safari1, Masoumeh Mohtaram2, Elham Razi2Institutions (2)
01 Jul 2020-
Abstract: Objectives: The purpose of this study was to explore the experiences of Iranian Student teachers on the status of virtual education in the Coronavirus pandemic. Methods: Using phenomenological method, this qualitative study was conducted on 46 student-teachers. The data collection tool was a semi-structured interview which was conducted in absentia due to the prevalence of Quid 19. Data collection and analyses were done concurrently. Data were interpreted using theme analysis method with the support of Nvivo10 qualitative data analysis software. Results: The thematic network indicated that the challenges of virtual education during the Coronavirus epidemic consisting of a comprehensive theme, 5 organizing themes (Inequality in access to facilities, The challenge of filtering, Internet slowness, Hardware and software challenges, Non-uniform communication channels for all students, Low capacity of communication), and 22 basic themes. Conclusion: The results of this study can provide useful information about the current state of e-learning and education to administrators, planners, and implementers of e-learning in universities. By identifying the problems in the process of e-learning, this process can be modified, improved, or changed, and measures can be taken to develop and enhance the e-learning process in times of crisis.

... read more

Topics: Qualitative research (50%), Data collection (50%)

3 Citations


Open accessJournal ArticleDOI: 10.3390/SU13116450
06 Jun 2021-Sustainability
Abstract: The aim of this study was to fill the gap in the literature on e-learning acceptance and its role in the sustainability of learning and the role of task-technology fit (TTF), which influences student satisfaction and academic performance. While researchers have examined e-learning acceptance in a variety of contexts, the role of TTF as a mediating variable in measuring education sustainability has not been explored using the technology acceptance model (TAM). As a result, the goal of this study was to develop a new paradigm by combining two theories: TFF and the TAM. In total, 432 students and researchers from public universities participated in this study. We surveyed students using the structural equation modelling (SEM) approach to learn about their expectations with regard to e-learning adoption. According to the findings, perceived ease of use has a positive impact on perceived enjoyment and usefulness, which in turn has a positive impact on task–technology fit and e-learning use in higher education, resulting in a positive impact on student satisfaction and academic performance as well as sustainability. Finally, the role of task-technology fit and e-learning usage in education sustainability had a positive effect on student satisfaction and learning performance. As a result, the use of e-learning in learning processes should be encouraged as a long-term strategy in higher education institutions.

... read more

3 Citations


Open accessDOI: 10.21831/CP.V40I3.42646
18 Oct 2021-
Abstract: Due to an abrupt outbreak of the global COVID-19 pandemic, the educational paradigm has to be shifted to a new era of online education at all levels while maintaining the Sustainable Development Goals (SDGs). The study aims to analyze the implementation of online education focusing on (1) institutional preparedness of digital infrastructure and (2) students' learning activities during the pandemic. An online survey (Google Survey) was conducted to collect the data, which were then qualitatively analyzed supported by data quantification in percentage. The findings indicate that the target schools managed to carry out online education in response to the government's social restriction. Online education has been implemented in three different contexts, depending on the types and strata of schools-fully, partially, and none of the two. This has opened up prospects and challenges to create different standpoints. The students learn through a variety of virtual learning activities, such as watching videos (YouTube or Teacher's presentation), completing quizzes, doing assignments, discussion via Google Meet, and the like depending on the class design.

... read more

3 Citations


Open accessJournal ArticleDOI: 10.3390/APP11094176
03 May 2021-Applied Sciences
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 α ≥ 0.70 and CR ≥ 0.70. Indicator Reliability was matched with the help of Outer Loading and found deemed fit OL ≥ 0.70. To establish Convergent Validity Average Variance Extracted, Factor Loading and Composite Reliability were used and found deemed suitable with AVE ≥ 0.50. The HTMT and Fornell–Lacker tests were applied to assess discriminant validity and found appropriate (HTMT ≤ 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.

... read more

Topics: Reliability (statistics) (54%), Service quality (53%), Information quality (52%) ... read more

2 Citations


Open accessJournal ArticleDOI: 10.3390/SU132112168
04 Nov 2021-Sustainability
Abstract: In the spring of 2020, the COVID-19 pandemic induced a rapid shift to online education. University instructors promptly reinvented their teaching methods and developed digital lessons. Cooperative learning has been demonstrated to surpass lecture-based learning (LBL) regarding students’ learning processes; therefore, the question arises as to whether the perks of cooperative learning still hold when switching to online education. This study examines whether the benefits of team-based learning (TBL) regarding good teaching (i.e., perceived teaching quality), satisfaction, and performance persist when switching from face-to-face to online education. A quasi-experiment in an undergraduate advanced accounting course compared a non-COVID-19-affected semester to a COVID-19-affected semester. In both semesters, students could choose between a TBL and a LBL path for tutorial sessions. Quantitative survey data (N = 455) indicate TBL outperforms LBL, even when switching to online tools. Good teaching was perceived as even better in the COVID-19-affected semester, and even more so by students in the team-based setting, compared to the lecture-based setting. Students’ course satisfaction and performance were unaffected by the switch to online education. This paper shows that TBL still benefits students, even in a blended environment.

... read more

Topics: Cooperative learning (62%), Team learning (54%), Teaching method (53%)

References
  More

61 results found


Journal ArticleDOI: 10.2307/3151312
Claes Fornell1, David F. Larcker2Institutions (2)
Abstract: The statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined. A drawback of the commonly applied chi square test, in addit...

... read more

53,384 Citations



Journal ArticleDOI: 10.2307/249008
Fred D. Davis1Institutions (1)
Abstract: Valid measurement scales for predicting user acceptance of computers are in short supply. Most subjective measures used in practice are unvalidated, and their relationship to system usage is unknown. The present research develops and validates new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance. Definitions of these two variables were used to develop scale items that were pretested for content validity and then tested for reliability and construct validity in two studies involving a total of 152 users and four application programs. The measures were refined and streamlined, resulting in two six-item scales with reliabilities of .98 for usefulness and .94 for ease of use. The scales exhibited hgih convergent, discriminant, and factorial validity. Perceived usefulness was significnatly correlated with both self-reported current usage r = .63, Study 1) and self-predicted future usage r = .85, Study 2). Perceived ease of use was also significantly correlated with current usage r = .45, Study 1) and future usage r = .59, Study 2). In both studies, usefulness had a signficnatly greater correaltion with usage behavior than did ease of use. Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage. Implications are drawn for future research on user acceptance.

... read more

35,886 Citations


Open accessJournal Article
Abstract: This paper describes the development of a 22-item instrument (called SERVQUAL) for assessing customer perceptions of service quality in service and retailing organizations. After a discussion of the conceptualization and operationalization of the service quality construct, the procedures used in constructing and refining a multiple-item scale to measure the construct are described. Evidence of the scale's reliability, factor structure, and validity on the basis of analyzing data from four independent samples is presented next. The paper concludes with a discussion of potential applications of the scale.

... read more

Topics: SERVQUAL (64%), Service quality (56%), Service guarantee (54%)

20,778 Citations


Journal ArticleDOI: 10.1287/MNSC.46.2.186.11926
Viswanath Venkatesh1, Fred D. Davis2Institutions (2)
01 Feb 2000-Management Science
Abstract: The present research develops and tests a theoretical extension of the Technology Acceptance Model (TAM) that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes. The extended model, referred to as TAM2, was tested using longitudinal data collected regarding four different systems at four organizations ( N = 156), two involving voluntary usage and two involving mandatory usage. Model constructs were measured at three points in time at each organization: preimplementation, one month postimplementation, and three months postimplementation. The extended model was strongly supported for all four organizations at all three points of measurement, accounting for 40%--60% of the variance in usefulness perceptions and 34%--52% of the variance in usage intentions. Both social influence processes (subjective norm, voluntariness, and image) and cognitive instrumental processes (job relevance, output quality, result demonstrability, and perceived ease of use) significantly influenced user acceptance. These findings advance theory and contribute to the foundation for future research aimed at improving our understanding of user adoption behavior.

... read more

14,805 Citations


Performance
Metrics
No. of citations received by the Paper in previous years
YearCitations
20219
20201