scholarly journals The Effects of E-Learning on Students’ Motivation to Learn in Higher Education

2021 ◽  
Vol 25 (3) ◽  
Author(s):  
Elgilani Elshareif ◽  
Elfadil Abdalla Mohamed
Keyword(s):  
Higher Education ◽  
Internal Consistency Reliability ◽  
Learning Systems ◽  
Educational Institutions ◽  
Motivation To Learn ◽  
Strongly Correlated ◽  
Parametric Methods ◽  
E Learning ◽  
Key Aspects ◽  
Strength Of Association

The recent COVID-19 pandemic has forced educational institutions worldwide to adopt e-learning. UAE higher education institutions have implemented e-learning systems and programs to cope with this unprecedented situation. This paper measured the strength of association between key aspects of e-learning systems and programs and students’ motivation to learn in Ajman University (AU). Cronbach’s coefficient alpha was used to test the internal consistency reliability of key aspects of e-learning (EL-8) and students’ motivation to learn (SML-16). Exploratory factor analysis was used to test the validity of, and coherence of patterns in, the data. Parametric and non-parametric methods were used to investigate the strength of association between key aspects of e-learning and students’ motivation to learn in AU. The results indicated that motivation variables were more strongly correlated with both e-teaching materials and e-assessments key aspects relative to others such as e-discussion, and e-grade checking and feedback.

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 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 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.

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.

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.

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.

An m-learning framework for ERP systems in higher education

2014 ◽  
Vol 11 (4) ◽  
pp. 287-301 ◽  
Author(s):  
Brenda Scholtz ◽  
Mando Kapeso
Keyword(s):  
Higher Education ◽  
Success Factors ◽  
Theoretical Framework ◽  
Learning Systems ◽  
Learning System ◽  
Erp Systems ◽  
Content Type ◽  
Erp System ◽  
E Learning ◽  
Learning Projects

Purpose – The purpose of this paper is to investigate the factors of m-learning approaches which can be used for enterprise resource planning (ERP) system training and to propose a theoretical framework for m-learning of ERP systems. Design/methodology/approach – A literature review of several theories relating to success factors for mobile learning (m-learning) and electronic learning (e-learning) are analysed and a theoretical framework of success factors for m-learning of ERP systems is proposed. Two field studies are undertaken to identify the features of e-learning and m-learning systems which users enjoyed and which related to the factors identified in the theoretical framework. The technology acceptance model (TAM) was used to evaluate the acceptance, usefulness and perceived ease of use (PEOU) of the two systems evaluated in the field study, the openSAP e-learning application and the SAP Learn Now m-learning application. Findings – The results confirmed several of the theoretical elements identified in the framework and the m-learning system was rated positively for PEOU and perceived usefulness (PU). The findings confirmed other studies showing the importance of the quality of course content in e-learning and m-learning projects. Research limitations/implications – The empirical study was limited to a small number of participants in higher education. However, a deeper understanding of the factors influencing m-learning for ERP systems was obtained. Practical implications – The study provides a valuable practical contribution because the framework can be used in the improved design of an ERP m-learning approach, which in turn can lead to an improvement in ERP training and education programmes and ultimately ERP project success. Originality/value – Several studies propose the use of m-learning systems. However, research related to the factors impacting on m-learning projects for ERP system training is limited. The paper presents original work and the results provide a valuable contribution to several theories of m-learning.

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