The Impact of CMS Quality on the Outcomes of E-learning Systems in Higher Education: An Empirical Study

2012 ◽  
Vol 10 (4) ◽  
pp. 575-587 ◽  
Author(s):  
Kihyun Kim ◽  
Silvana Trimi ◽  
Hyesung Park ◽  
Shanggeun Rhee
Keyword(s):  
Higher Education ◽  
Empirical Study ◽  
Learning Systems ◽  
E Learning ◽  
The Impact

scholarly journals Shifting focus to online learning during the COVID-19 pandemic in Saudi Universities: Challenges and opportunities

2021 ◽  
pp. 1-15
Author(s):  
Nouf Aljohani
Keyword(s):  
Higher Education ◽  
Online Learning ◽  
Learning Strategies ◽  
Learning Process ◽  
Learning Systems ◽  
Educational Institutions ◽  
Challenges And Opportunities ◽  
E Learning ◽  
Integrate Technology ◽  
The Impact

Since 2020, Saudi administrations have provisionally closed educational institutions to mitigate the spread of COVID-19. At the time, employing technology was imperative to accelerate learning efforts and offer methods of enhancing interactions between learners and among learners and tutors. In this review, I first describe the e-learning systems that were used in higher education before the pandemic. Then, I investigate the impact of COVID-19 on Saudi higher education and how universities and public educational institutions responded to the pandemic. In the conclusion, I argue that policymakers, university sectors, and syllabi developers should unify national e-learning strategies, integrate technology in a systematic way, and design e-learning curricula to meet the needs of an ever-advancing world and revolutionise the learning process.

scholarly journals Impact of E-learning factors on Students Satisfaction: Sohar University - a Case study

2021 ◽  
Vol 2 (1) ◽  
pp. 1-9
Author(s):  
Laila Al Maqbali ◽  
Keyword(s):  
Higher Education ◽  
Student Satisfaction ◽  
Information Quality ◽  
Learning Systems ◽  
Learning System ◽  
System Usage ◽  
E Learning ◽  
System Success ◽  
Learning Factors ◽  
The Impact

Abstract Purpose of Study The study aimed to investigate the impact of quality remote e-learning factors on student satisfaction. Methodology The random sampling method was adopted through a questionnaire in an online survey. The survey used a questionnaire to collect data from 218 students who had experienced online learning. Statistical Package for Social Sciences (SPSS) was used to analyze and interpret the collected data. Findings The study revealed that there was an impact of Information Quality, Service Quality, and System Usage on System Success which in turn has an impact on student satisfaction. It is observed that the experience through the e-learning system determines improvement towards academic knowledge and expertise. Social Implications This study helps HEIs to understand the student’s perception of remote e-learning systems for future improvements. This study has provided insights into remote e-learning systems of higher education institutions in understanding the impact of the system used on student satisfaction. This will help them to improve the e-learning system. Practical Implications The study showed that most of the students opined that the Higher Education Institutions (HEIs) should keep improving their services as it is required to enhance the features and the facilities to increase student satisfaction. Originality No study has ever considered the three key factors which influence the system usage which in turn affects student satisfaction and this research dealt with that. Keywords: E-learning difficulties, Information Quality, System Quality, System Usage, System Success, Student Satisfaction.

Psychological, Pedagogical and Drganizational Peculiarities of the Development of Students’ Volitional Qualities as a Factor of Success in Learning

2021 ◽  
Author(s):  
Nadiia Vientseva ◽  
◽  
Oleva Karapetrova
Keyword(s):  
Higher Education ◽  
Theoretical Analysis ◽  
Empirical Study ◽  
University Students ◽  
Education Institution ◽  
Educational Material ◽  
Academic Achievements ◽  
The Impact ◽  
The Relationship ◽  
Development Of Students

The article reports the results of the empirical study of the impact of volitional qualities development on the level of academic achievements of higher education institution students. The article gives a theoretical analysis of the main types of volitional qualities that affect the assimilation of educational material by students. There was established the level of their development and the relationship with academic achievements. The article also identifies the main psycho-pedagogical and organizational peculiarities that affect the success of mastering the knowledge by university students. The psychological and pedagogical recommendations for forming, developing and supporting the volitional sphere of students are developed.

scholarly journals USE OF E-LEARNING TOOLS ON HIGHER EDUCATION INSTITUTIONS

2020 ◽  
Vol 8 (12) ◽  
pp. 805-810
Author(s):  
Alka Sharma ◽  
◽  
Hina Jain Gupta ◽  
Keyword(s):  
Higher Education ◽  
Quality Education ◽  
Educational Institutions ◽  
Learning Tools ◽  
Higher Educational Institutions ◽  
E Learning ◽  
Higher Educational ◽  
Almost All ◽  
The Impact ◽  
Quantitative And Qualitative Methods

In the last two decades, technology has evolved at a great pace and has influenced almost all spheres of life and education is no exception to it. Nowadays, most of the educational institutions are using various tools and equipments to impart education to the students. This paper has tried to explore the impact of e-education tools on thestudents in higher educational institutions. The sample consists of students enrolled in higher educational institutions. Both quantitative and qualitative methods have been adopted for data collection including questionnaires, semi-structured &open-ended interviews. Use of computer and internet was found to be one of the most important e-learning tools. The findings are expected to assist the higher educational institutions in framing their policies to impart quality education to the students.

Is E-Learning a Pro-Active Response to, or Reaction to, Changes in Educational Policy and Patterns of Educational Demand?

2014 ◽  
pp. 253-267
Author(s):  
Allan M. Lawrence ◽  
Peter J. Short ◽  
Deborah Millar
Keyword(s):  
Higher Education ◽  
Educational Policy ◽  
Higher Education Institutions ◽  
Developed Countries ◽  
Quality Factors ◽  
Student Work ◽  
Factors Affecting ◽  
Educational Demand ◽  
E Learning ◽  
The Impact

This chapter reviews and investigates the models and acceptability of E-Learning to the emerging students markets for Higher Education Institutions (HEIs) from the More Developed Countries (MDCs) and seeks to evaluate the differing models of delivery from a practical and a socio-economic perspective. The research also investigates the impact of the shifts in population growth and the subsequent impact upon the levels of demand from students in Less Developed Countries (LDCs) for higher education. In addition, the logistical and quality factors affecting E-Learning are evaluated, looking at the aspects of academic rigour, plagiarism, and the methods of managing the originality and authenticity of student work. Similarly, the research looks at the viability of situations where the education provider may never physically meet the students through the exclusive use of VLEs, and the possible credibility issues that this may present to institutional and awarding body reputations.

E-Learning and the Semantic Web

2015 ◽  
pp. 66-100 ◽  
Author(s):  
Raadila Bibi Mahmud Hajee Ahmud-Boodoo
Keyword(s):  
Higher Education ◽  
Semantic Web ◽  
Success Factors ◽  
Comprehensive Analysis ◽  
Learning Systems ◽  
Education Sector ◽  
Learning Models ◽  
Semantic Web Technology ◽  
Critical Success ◽  
E Learning

A number of 3.0 e-learning systems have been proposed in the literature to capture the numerous benefits that the Semantic Web has to offer to the higher education sector. These 3.0 e-learning systems identify some essential Semantic Web characteristics that are either discussed as stand-alone factors or tend to revolve around the complexities of the Semantic Web technology and its implementation, often disregarding users' needs. Conversely, a comprehensive analysis of e-learning models for higher education in the literature revealed several Critical Success Factors (CSFs) that are relevant to the Semantic Web but often overlooked in 3.0 e-learning models. Consequently, this chapter provides an overview of the CSFs of e-learning relevant to 3.0 e-learning systems as well as an overview of the main Semantic Web characteristics for e-learning to define a new and combined set of 3.0 e-learning characteristics that will holistically represent 3.0 e-learning systems capturing the needs and expectations of users. The new initial 3.0 e-learning model proposed is evaluated within the higher education sector in Mauritius.

Harnessing Cloud Computing Services for E-Learning Systems in Higher Education

2019 ◽  
Vol 15 (2) ◽  
pp. 18-30
Author(s):  
Abderrahim El Mhouti ◽  
Mohamed Erradi
Keyword(s):  
Higher Education ◽  
Cloud Computing ◽  
Learning Systems ◽  
Learning And Teaching ◽  
Computing Services ◽  
E Learning ◽  
Cloud Computing Services ◽  
Learning Platforms ◽  
Basic Infrastructure ◽  
Common Architecture

The use of e-learning suggests the use of ICT to enhance the quality of learning and teaching. However, many higher education institutions, does not have e-learning platforms, resources and infrastructure necessary to implement this type of training. This is due to the need for high cost of basic infrastructure and applications challenges related projects it has to face. This article puts forward an overview on what is the current state of the use of cloud computing in e-learning in higher education context, where the use of computers is increasingly intensive. The article analyzes e-learning systems challenges and trends, the convenience of cloud computing for e-learning and the key benefits of e-learning on the cloud. The article exposes also some application solutions using cloud computing in e-learning for higher education, by presenting the most common architecture that has been adopted. Finally, this article discusses issues related to the implementation of cloud-based e-learning systems and presents some potential ways to overcome them.

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